Publications

 


Editorships

[E2] S. Mattoccia, B. Kisačanin, M. Gelautz, S. Chai, A. N. Belbachir, G. Dedeoglu, F. Stein, “Guest Editorial: Special Issue on Embedded Computer Vision”, Journal of Signal Processing Systems, June 2018, Volume 90, Issue 6, pp 873–876 [PDF]

[E1] A. Alatan, J. Ostermann, L. Onural, G. AlRegib, S. Mattoccia, C. Yuan, “Introduction to the special issue on Emerging Techniques in 3-D”, IEEE Journal of Selected Topics in Signal Processing, Vol. 6, Num. 5, September 2012  [PDF]

Journals

[J26] A. Mingozzi, A. Conti, F. Aleotti, M. Poggi, S. Mattoccia, “Monitoring social distancing with single image depth estimation”, accepted on IEEE Transactions on Emerging Topics in Computational Intelligence (TETCI), 2022 [PDF | PDF(Pre-print) | Dataset]

[J25] M. Poggi, F. Tosi, F. Aleotti, S. Mattoccia, “Real-time monocular depth estimation without GPU”, IEEE Transactions on Intelligent Transportation Systems (T-ITS), 2022 [PDF | Video | Code]

[J24] M. Poggi, F. Tosi, K. Batsos, P. Mordohai, S. Mattoccia, “On the synergies between machine learning and binocular stereo for depth estimation from images: a survey”, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021 [PDF | PDF(Pre-print)]

[J23] M. Poggi, S. Kim, F. Tosi, S. Kim, F. Aleotti, D. Min, K. Sohn, S. Mattoccia , “On the confidence of stereo matching in a deep-learning era: a quantitative evaluation”, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021 [PDF | PDF(Pre-print) | Code]

[J22] M. Poggi, A. Tonioni, F. Tosi, S. Mattoccia, L. Di Stefano, “Continual adaptation for deep stereo”, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021 [PDF | PDF(Pre-print) | Video | Code]

[J21] A. Cipolletta, V. Peluso, A. Calimera, M. Poggi, F. Tosi, F. Aleotti, S. Mattoccia, “Energy-Quality Scalable Monocular Depth Estimation on Low-Power CPUs”, IEEE Internet of Things Journal (IoT-J), Vol. 9, Issue 1, pages 25-36, January 1, 2021 [PDF]

[J20] V. Peluso, A. Cipolletta, A. Calimera, M. Poggi, F. Tosi, F. Aleotti, S. Mattoccia, “Monocular depth perception on microcontrollers for edge applications”, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), Vol. 32, Issue 3, March 2022, pp 1524-1536 [PDF | Video]

[J19] D. De Gregorio, M. Poggi, P. Zama Ramirez, G. Palli, S. Mattoccia, L. Di Stefano, “Beyond the baseline: 3D reconstruction of tiny objects with single camera stereo robot”, IEEE Access, Vol. 9, pages 119755 - 119765, August 2021 [PDF | Video]

[J18] F. Aleotti, G. Zaccaroni, L. Bartolomei, M. Poggi, F. Tosi, S. Mattoccia, “Real-time single image depth perception in the wild with handheld devices”, Sensors 2021, 21(1), 15; [PDF | Video_1 | Video_2 | Video_3 | Demo | Code]

[J17] A. Livoroi, A. Conti, L. Foianesi, F. Tosi, F. Aleotti, M. Poggi, F. Tauro, E. Toth, S. Grimaldi, S. Mattoccia, “On the deployment of out-of-the-box embedded devices for self-powered river surface flow velocity monitoring at the edge”, Applied Sciences 2021, 11(15), 7027 [PDF]

[J16] P. Tassinari, M. Bovo, S. Benni, S. Franzoni, M. Poggi, L. Maria, E. Mammi, S. Mattoccia, L Di Stefano, F. Bonora, A. Barbaresi, E. Santolini, D. Torreggiani, “A computer vision approach based on deep learning for the detection of dairy cows in free stall barn”, Computers and Electronics in Agriculture, Volume 182, March 2021, [PDF]

[J15] A. Tonioni, M. Poggi, S. Mattoccia, L. Di Stefano, “Unsupervised domain adaptation for depth prediction from images”, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 42(10), pp 2396 - 2409, October 1, 2020, 10.1109/TPAMI.2019.2940948, [PDF | PDF(Pre-print) | Video | Code]

[J14] M. Poggi, F. Tosi, S. Mattoccia, “Good cues to learn from scratch a confidence measure for passive depth sensors”, IEEE Sensors Journal, 20(22), pp 13533-13541, November 15, 2020, DOI: https://doi.org/10.1109/JSEN.2020.3004629, [PDF | PDF(Pre-Print)

[J13] F. Tosi, M. Rocca, F. Aleotti, M. Poggi, S. Mattoccia, F. Tauro, E. Toth, S. Grimaldi, “Enabling image-based streamflow monitoring at the edge”, Remote Sensing, 2020, 12(12), 2047 [PDF]

[J12] M. Poggi, F. Tosi, S. Mattoccia, “Learning a confidence measure in the disparity domain from O(1) features”, Computer Vision and Image Understanding, Volume 193, April 2020 [PDF | Code]

[J11] M. Poggi, G. Agresti, F. Tosi, P. Zanuttigh, S. Mattoccia, “Confidence estimation for ToF and stereo sensors and its application to depth data fusion”, IEEE Sensors Journal, 20(2), pages 1411-1421, February, 1 2020 [PDF | PDF(Pre-Print) | Code]

[J10] F. Tauro, F. Tosi, S. Mattoccia, E. Toth, R. Piscopia, S. Grimaldi, "Optical Tracking Velocimetry (OTV): leveraging optical flow and trajectory-based filtering for surface streamflow observations", Remote Sensing, 2018, 10(12), 2010 [PDF | Video]

[J9] W. Ouyang, F. Tombari, S. Mattoccia, L. Di Stefano, W. Cham, "Performance evaluation of full-search equivalent pattern matching algorithms", IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 34(1), pages 127-143, January 2012 [PDF | Bibtex]

[J8] S. Mattoccia, F. Tombari, L. Di Stefano, "Efficient template matching for multi-channel images", Pattern Recognition Letters (PRL), 32(5), pages 694-700, April 2011 [PDF | Bibtex]

[J7] F. Tombari, S. Mattoccia, L. Di Stefano, "Full search-equivalent pattern matching with Incremental Dissimilarity Approximations", IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 31(1), pages 129-141, January 2009 [PDF | Bibtex]

[J6] S. Mattoccia, F. Tombari, L. Di Stefano, "Fast  full-search equivalent template matching by Enhanced Bounded Correlation", IEEE Transactions on Image Processing (TIP), 17(4), pages 528-538, April 2008 [PDF | Bibtex]

[J5] L. Di Stefano, S. Mattoccia, F. Tombari, “ZNCC-based template matching using Bounded Partial Correlation", Pattern Recognition Letters (PRL), 16(14), pages 2129-2134 October 2005 [PDF | Bibtex]

[J4] L. Di Stefano, M. Marchionni, S. Mattoccia, “A fast area-based stereo matching algorithm”, Image and Vision Computing (IVC), 22(12), pages 983-1005, October 2004 [PDF | Bibtex]

[J3] L. Di Stefano, M. Marchionni, S. Mattoccia, "A PC-based real-time stereo vision system", Machine Graphics & Vision, 13(3), pages 197-220, January 2004 [PDF | Bibtex]

[J2] L. Di Stefano, S. Mattoccia, “Fast template matching using Bounded Partial Correlation”, Machine Vision and Applications (MVA), 13(4), pages 213-221,  February 2003 [PDF | Bibtex]

[J1] L. Di Stefano, S. Mattoccia, “Real-time stereo within the VIDET project”, Real-Time Imaging (RTI), 8(5), pages 439-453, October 2002 [PDF | Bibtex]


International Conferences and Workshops

[C97] P. Zama Ramirez*, F. Tosi*, M. Poggi*, S. Salti, S. Mattoccia, L. Di Stefano, “Open challenges in deep stereo: the Booster dataset”, IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2022), New Orleans, USA, June 19-24, 2022 [PDF | Project page | Dataset | Video]

[C96] F. Tosi*, P. Zama Ramirez*, M. Poggi*, S. Salti, S. Mattoccia, L. Di Stefano, “RGB-Multispectral matching: dataset, learning methodology, evaluation”, IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2022), New Orleans, USA, June 19-24, 2022 [PDF | Project page | Dataset | Video]

[C95] S. Kim*, M. Poggi*, S. Kim, K. Sohn, S. Mattoccia, “Meta-confidence estimation for stereo matching”, accepted at International Conference on Robotics and Automation (ICRA 2022), May 23-27, 2021, Philadelphia (PA), USA [PDF]

[C94] F. Aleotti, F. Tosi, P. Zama Ramirez, M. Poggi, S. Salti, S. Mattoccia, L. Di Stefano, “Neural disparity refinement for arbitrary resolution stereo”, oral presentation at International Conference on 3D Vision (3DV 2021), virtual, December 1-3, 2021 [PDF | Code] - BEST PAPER AWARD HONORABLE MENTION

[C93] M. Poggi, F. Aleotti, S. Mattoccia, “Sensor-guided optical flow”, International Conference on Computer Vision (ICCV 2021), virtual, October 11-17, 2021 [PDF | Supplementary | Code | Video]

[C92] F. Aleotti, M. Poggi, S. Mattoccia, “Learning optical flow from still images”, IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2021), virtual, June 19-25, 2021 [PDF | Supplementary | Code | Video]

[C91] C. Cai, M. Poggi, S. Mattoccia, P. Mordohai, “Matching-space stereo networks for cross-domain generalization”, 8th International Virtual Conference on 3D Vision (3DV 2020), November 25-28, 2020, virtually in Fukuoka, Japan [PDF | Code]

[C90] F. Aleotti, F. Tosi, L. Zhang, M. Poggi, S. Mattoccia, “Reversing the cycle: self-supervised deep stereo through enhanced monocular distillation”, 16th European Conference on Computer Vision (ECCV 2020), 23-28 August 2020, virtually in Glasgow, UK [PDF | Video | Code]

[C89] M. Poggi, F. Aleotti, F. Tosi, G. Zaccaroni, S. Mattoccia, “Self-adapting confidence estimation for stereo”, 16th European Conference on Computer Vision (ECCV 2020), 23-28 August 2020, virtually in Glasgow, UK [PDF | Video | Code]

[C88] M. Poggi, F. Tosi, F. Aleotti, S. Mattoccia, "Leveraging a weakly adversarial paradigm for joint learning of disparity and confidence estimation", 25th International Conference on Pattern Recognition (ICPR 2020), January 10-15, 2021, virtually in Milan, Italy [PDF | Video]

[C87] M. Poggi, F. Aleotti, F. Tosi, S. Mattoccia, "On the uncertainty of self-supervised monocular depth estimation", IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2020), June 16-18, 2020, virtually in Seattle, Washington, USA [PDF | Code | Video | Supp]

[C86] F. Tosi, F. Aleotti, P. Zama Ramirez, M. Poggi, S. Salti, L. Di Stefano, S. Mattoccia, "Distilled semantics for comprehensive scene understanding from videos", IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2020), June 16-18, 2020, virtually in Seattle, Washington, USA [PDF | Code | Supp]

[
C85] V. Peluso, A. Cipolletta, A. Calimera, M. Poggi, F. Tosi, F. Aleotti, S. Mattoccia, "Enabling monocular depth perception at the very edge", 2020 Low-Power Computer Vision Challenge (LPCVC) held in conjunction with CVPR 2020, June 15, 2020, virtually in Seattle, Washington, USA [PDF, Video]

[C84] P. L. Dovesi, M. Poggi, L. Andraghetti, M. Martí, H. Kjellström, A. Pieropan, S. Mattoccia, “Real-time semantic stereo Matching”, International Conference on Robotics and Automation (ICRA 2020), May 31-June 4, 2020, virtually in Paris, France [PDF | Video] - joint work with Univrses and KTH, Sweden

[C83] F. Aleotti, M. Poggi, F. Tosi, S. Mattoccia, “Learning end-to-end scene flow by distilling single tasks knowledge”, Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20), New York, USA, February 7-12 2020 [PDF | Video | Code | Project]

[C82] L. Andraghetti , P. Myriokefalitakis, P. L. Dovesi, B. Luque, M. Poggi, A. Pieropan, S. Mattoccia, “Enhancing self-supervised monocular depth estimation with traditional visual odometry”, International Conference on 3D Vision (3DV 2019), Quebec City, Canada, September 16-19 2019 [PDF | Video] - joint work with Univrses, Sweden

[C81] M. Poggi, D. Pallotti, F. Tosi, S. Mattoccia, “Guided stereo matching”, IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2019), Long Beach, CA, USA, June 16-20 2019 [PDF | Code | Video]

[C80] F. Tosi, F. Aleotti, M. Poggi, S. Mattoccia, "Learning monocular depth estimation infusing traditional stereo knowledge", IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2019), Long Beach, CA, USA, June 16-20 2019 [PDF | Supplementary | Code | Video | Project]

[C79] A. Tonioni, F. Tosi, M. Poggi, S. Mattoccia, L. Di Stefano, "Real-time self-adaptive deep stereo", oral presentation at IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2019), Long Beach, CA, USA, June 16-20 2019 [PDF | Supplementary | Code | Video]

[C78] F. Tosi , M. Poggi, S. Mattoccia, “Leveraging confident points for accurate depth refinement on embedded systems”, 15th IEEE Embedded Vision Workshop (EVW 2019) held in conjunction with CVPR 2019, Long Beach, CA, USA, June 16 2019 [PDF]

[C77] V. Peluso, A. Cipolletta, A. Calimera, M. Poggi, F. Tosi and S. Mattoccia, Enabling energy-efficient unsupervised monocular depth estimation on ARMv7-based platforms”, Design Automation and Test in Europe (DATE 2019), Florence, Italy, March 25 - 29, 2019 [PDF] [U-Booth_flyer]

[C76] P. Zama Ramirez, M. Poggi, F. Tosi, S. Mattoccia, L. Di Stefano, "Geometry meets semantic for semi-supervised monocular depth estimation", 14th Asian Conference on Computer Vision (ACCV 2018), December 2-6, 2018, Perth, Australia [PDF | Code | Video]
 
[C75] M. Poggi, F. Aleotti, F. Tosi, S. Mattoccia, “Towards real-time unsupervised monocular depth estimation on CPU”, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2018), Madrid, Spain, October, 1-5, 2018 [PDF | Video | Bibtex | Code]

[C74] F. Tosi, M. Poggi, A. Benincasa, S. Mattoccia, Beyond local reasoning for stereo confidence estimation with deep learning”, 15th European Conference on Computer Vision (ECCV 2018), Munich, Germany, September 8-14, 2018 [PDF | Bibtex | Code]

[C73] F. Aleotti, F. Tosi, M. Poggi, S. Mattoccia, “Generative adversarial networks for unsupervised monocular depth prediction”, 3D Reconstruction in the Wild 2018 (3DRW2018), in conjunction with (ECCV 2018), Munich, Germany, September 14, 2018 [PDF | Bibtex | Code]

[C72] M. Poggi, F. Tosi, S. Mattoccia, "Learning monocular depth estimation with unsupervised trinocular assumptions", 6th international conference on 3D Vision (3DV 2018), September 5-8, 2018, Verona, Italy [PDF | Supplementary | Video_1 | Video_2 | Bibtex | Code]

[C71] P. Di Febbo, C. Dal Mutto, K. Tieu, S. Mattoccia, “KCNN: extremely-efficient hardware keypoint detection with a compact convolutional neural network”, 14th IEEE Embedded Vision Workshop (EVW 2018), held in conjunction with CVPR 2018, Salt Lake City, Utah (USA), July 18, 2018 [PDF | Bibtex | Video] BEST PAPER AWARD

[
C70] M. Poggi, F. Tosi, S. Mattoccia, “Quantitative evaluation of confidence measures in a machine learning world”, spotlight presentation at International Conference on Computer Vision (ICCV 2017), October 22-29, 2017, Venice, Italy [PDF | Supplementary | Code]

[
C69] A. Tonioni, M. Poggi, S. Mattoccia, L. Di Stefano, “Unsupervised adaptation for deep stereo”, International Conference on Computer Vision (ICCV 2017), October 22-29, 2017, Venice, Italy [PDF | Supplementary | Code]

[
C68] F. Tosi, M. Poggi, A. Tonioni, L. Di Stefano, S. Mattoccia, “Learning confidence measures in the wild”, 28th British Machine Vision Conference (BMVC 2017), September 4-7, 2017, Imperial College London, UK [PDF | Bibtex | Code]

[
C67] M. Poggi, F. Tosi, S. Mattoccia, “Efficient confidence measures for embedded stereo”, 19th International Conference on Image Analysis and Processing (ICIAP 2017), September 11-15, 2017, Catania, Italy [PDF]

[
C66] M. Poggi, S. Mattoccia, “Learning to predict stereo reliability enforcing local consistency of confidence maps”, IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2017), Honolulu, Hawaii (USA), July 21-26, 2017 [PDF | Code]

[
C65] M. Poggi, F. Tosi, S. Mattoccia, “Even more confident predictions with deep machine-learning”, 13th IEEE Embedded Vision Workshop (EVW2017) held in conjunction with IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2017), Honolulu, Hawaii (USA), July 21, 2017 [PDF]

[C64] M. Poggi, S. Mattoccia, “Evaluation of variants of the SGM algorithm aimed at implementation on embedded or reconfigurable devices”, International Conference on 3D Imaging (IC3D), Liège, Belgium, 13-14 December 2016 [PDF]

[C63] M. Boschini, M. Poggi, S. Mattoccia, “Improving the reliability of a 3D people tracking leveraging on deep-learning”, International Conference on 3D Imaging (IC3D), Liège, Belgium, 13-14 December, 2016 [PDF]

[C62] P. Di Febbo, S. Mattoccia, C. Dal Mutto, “Real-time image distortion correction: analysis and evaluation of FPGA-compatible algorithms”, 2016 International Conference on Reconfigurable Computing and FPGAs (Reconfig 2016), November 30-December 2, 2016, Cancun, Mexico [PDF]

[C61] M. Poggi, S. Mattoccia, “Learning a general-purpose confidence measure based on O(1) features and a smarter aggregation strategy for semi global matching”, oral presentation at the 2016 International Conference on 3D Vision (3DV 2016), October 25-28, 2016, Stanford University, California, USA [PDF]

[C60] M. Poggi, S. Mattoccia, “Deep stereo fusion: combining multiple disparity hypotheses with deep-learning”, 2016 International Conference on 3D Vision (3DV 2016), October 25-28, 2016, Stanford University, California, USA [PDF]

[C59] G. Marin, P. Zanuttigh, S. Mattoccia, “Reliable fusion of ToF and stereo depth driven by confidence measures”, 14th European Conference on Computer Vision (ECCV 2016), October 8-16, 2016, Amsterdam, Netherland [PDF | Website_and_dataset]

[C58] M. Poggi, S. Mattoccia, “Learning from scratch a confidence measure”, 27th British Machine Vision Conference (BMVC 2016), September 19-22, 2016, York, UK [PDF | Code]

[C57] M. Poggi, S. Mattoccia, “A wearable mobility aid for the visually Impaired based on embedded 3D vision and deep learning”, First IEEE Workshop on ICT Solutions for eHealth (IEEE ICTS4eHealth 2016) in conjunction with the Twenty-First IEEE Symposium on Computers and Communications, June 27-30, 2016, Messina, Italy [PDF]

[C56] S. Mattoccia, M. Poggi, “A passive RGBD sensor for  accurate and real-time depth sensing self-contained into an FPGA”, 9th ACM/SIGBED International Conference on Distributed Smart Cameras (ICDSC 2015), September 8-11, 2015, Seville, Spain [PDF]

[C55] M. Poggi, L. Nanni, S. Mattoccia, “Crosswalk recognition through pointcloud processing and deep-learning suited to a wearable mobility aid for the visually impaired”, Image-based Smart City Application (ISCA2015), September 8, 2015, Genova, Italy [PDF]

[C54] A. Muscoloni, S. Mattoccia, “Real-time tracking with an embedded 3D camera with FPGA processing”, International Conference on 3D (IC3D), 9-10 Dec, 2014, Liège, Belgium [PDF | VIDEO | Bibtex]

[C53] S. Mattoccia, P. Macrì, “3D glasses as mobility aid for visually impaired people”, Second Workshop on Assistive Computer Vision and Robotics (ACVR2014), ECCV Worskhop, September 12, 2014, Zürich, Switzerland [PDF | VIDEO | Bibtex]

[C52] S. Mattoccia, P. Macrì, “A real time 3D sensor for smart cameras”, Eighth ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC 2014), November 4-7, 2014, Venice, Italy [PDF | Bibtex]

[C51] S. Mattoccia, P. Macrì, G. Parmigiani, G. Rizza, “A compact, lightweight and energy efficient system for autonomous navigation based on 3D vision”, 10th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications (MESA 2014), September 10-12, 2014, Senigallia, Italy [PDF | Bibtex]


[C50] S. Mattoccia, I. Marchio, M. Casadio, “A compact 3D camera suited for mobile and embedded vision applications”, 4th IEEE Mobile Vision Workshop, CVPR 2014, Columbus, Ohio, USA, June 23, 2014 [PDF | Bibtex], BEST DEMO PAPER AWARD

[C49] S. Mattoccia, “Stereo vision algorithms on FPGAs”, 9th IEEE Embedded Vision Workshop, CVPR 2013, Portland, Oregon, USA, June 24, 2013, [PDF | Bibtex], INVITED PAPER

[C48] C. Dal Mutto, P. Zanuttigh, S. Mattoccia, G. Cortelazzo, "Locally consistent ToF and stereo data fusion", 2nd Workshop on Consumer Depth Cameras for Computer Vision (CDC4CV2012), ECCV2012 Workshop, October 12, Firenze, Italy [PDF | Supplementary | Bibtex | Results]

[C47] S. Mattoccia, L. De-Maeztu, "A fast segmentation-driven algorithm for stereo correspondence", International Conference on 3D (IC3D 2011), December 7-8, 2011, Liege, Belgium [PDF | Supplementary Material | Bibtex |  Results]

[C46] L. De-Maeztu, S. Mattoccia, A. Villanueva, R. Cabeza, "Efficient aggregation via iterative block-based adapting support weight",International Conference on 3D (IC3D 2011), December 7-8, 2011, Liege, Belgium [PDF | Supplementary Material | Bibtex | Results]

[C45] L. De-Maeztu, S. Mattoccia, A. Villanueva, R. Cabeza, "Linear stereo matching", International Conference on Computer Vision (ICCV 2011), November 6-13, 2011, Barcelona, Spain [PDF | Supplementary Material | Bibtex | Additional experimental results]

[C44] S. Mattoccia, M. Viti, F. Ries, "Near real-time Fast Bilateral Stereo on the GPU", 7th IEEE Workshop on Embedded Computer Vision (ECVW 2011), CVPR Workshop, June 20, 2011, Colorado Springs (CO), USA [PDF | Bibtex | Additional experimental results], BEST PAPER AWARD

[C43] L. De-Maeztu, S. Mattoccia, A. Villanueva, R. Cabeza, "A novel heterogeneous framework for stereo matching", International Conference on Image Processing, Computer Vision and Pattern Recognition (IPCV 2011), July 18-21, 2011, Las Vegas, USA [PDF | Bibtex]

[C42] C. Dal Mutto, P. Zanuttigh, G. M. Cortelazzo, S. Mattoccia, "Scene segmentation assisted by stereo vision", First joint 3DIM/3DPVT Conference on 3D Imaging, Modeling, Processing, Visualization and Transmission (3DIMPVT 2011), May 16-19, 2011, Hangzhou, China [PDF | Bibtex]

[C41] F. Tombari, S. Mattoccia, L. Di Stefano, "Stereo for robots: quantitative evaluation of efficient and low-memory dense stereo algorithms", 11th International Conference on Control, Automation, Robotics and Vision (ICARCV2010), December 7-10, 2010, Singapore, Singapore [PDF | Bibtex]

[C40] F. Tombari, L. Di Stefano, S. Mattoccia, A. Mainetti, "A 3D reconstruction system based on improved spacetime stereo", 11th International Conference on Control, Automation, Robotics and Vision (ICARCV2010), December 7-10, 2010, Singapore, Singapore [PDF | Bibtex]

[C39] S. Mattoccia, "Accurate dense stereo by constraining local consistency on superpixels", 20th International Conference on Pattern Recognition (ICPR2010), August 23-26, 2010, Istanbul, Turkey [PDF | Supplementay_material | Bibtex | Additional experimental results]

[C38] S. Mattoccia, "Fast locally consistent dense stereo on multicore", Sixth IEEE Embedded Computer Vision Workshop (ECVW2010), CVPR workshop, June 13, 2010, San Francisco, USA [PDF | Supplementay_material | Bibtex | Additional experimental results]

[C37] S. Mattoccia, "Improving the accuracy of fast dense stereo correspondence algorithms by enforcing local consistency of disparity fields", 3D Data Processing, Visualization and Transmission (3DPVT2010), May 17-20, 2010 Paris, France [PDF | Supplementay_material | Bibtex | Additional experimental results]

[C36] F. Tombari, A. Lanza, L. Di Stefano, S. Mattoccia, "Non-linear parametric Bayesian regression for robust background subtraction", Workshop on Motion and Video Computing (WMCV/MOTION) as part of IEEE Winter Vision Meetings 09, December 7-10, 2009, Snowbird, Utah, USA [PDF | Bibtex]

[C35] S. Mattoccia, "A locally global approach to stereo correspondence", IEEE Workshop on 3D Digital Imaging and Modeling (3DIM2009), ICCV workshop, October 3-4, 2009, Kyoto, Japan, pp 1763-1770 [PDF | Bibtex | Additional experimental results]

[C34] S. Mattoccia, S. Giardino, A. Gambini, "Accurate and efficient cost aggregation strategy for stereo correspondence based on approximated joint bilateral filtering", Asian Conference on Computer Vision (ACCV2009), September 23- 27, 2009,  Xi'an, China [PDF | Bibtex | Additional experimental results | Software | Code]

[C33] S. Mattoccia, F. Tombari, L. Di Stefano, "Enhanced low-resolution pruning for fast full-search template matching", Advanced Concepts for Intelligent Vision Systems (ACIVS 2009), September 28-October 2, 2009,  Bordeaux, France [PDF | Bibtex]

[C32] F. Tombari, S. Mattoccia, L. Di Stefano, F. Regoli, R. Viti, "A template analysis methodology to improve the efficiency of fast matching algorithms", Advanced Concepts for Intelligent Vision Systems (ACIVS 2009), September 28-October 2, 2009,  Bordeaux, France [PDF | Bibtex]

[C31] F. Tombari, S. Mattoccia, L. Di Stefano, E. Addimanda,“Near real-time stereo based on effective cost aggregation", International Conference on Pattern Recognition (ICPR 2008), December 8-11, 2008, Tampa, Florida USA [PDF | Bibtex]

[C30] P. Azzari, L. Di Stefano, S. Mattoccia, “An evaluation methodology for image mosaicing algorithms" , Advanced Concepts for Intelligent Vision Systems (ACIVS 2008), Lecture Notes in Computer Science 5259, pp 89-100, Springer 2008, October 20-24, 2008, Juan-les-Pins, France [PDF | Bibtex]

[C29] F. Tombari, L. Di Stefano, S. Mattoccia, A. Zanetti, “Graffiti detection using a Time-Of-Flight camera" , Advanced Concepts for Intelligent Vision Systems (ACIVS 2008), Lecture Notes in Computer Science 5259, pp 645-654, Springer 2008, October 20-24, 2008, Juan-les-Pins, France [PDF | Bibtex]

[C28] L. Di Stefano, F. Tombari, A. Lanza, S. Mattoccia, S. Monti, “Graffiti detection using two views", 8th International Workshop on Visual Surveillance (VS 2008), ECCV workshop, October 17, 2008, Marseille, France, [PDF | Bibtex]

[C27] S. Mattoccia, F. Tombari, L. Di Stefano, “Reliable rejection of mismatching candidates for efficient ZNCC template matching", IEEE International Conference on Image Processing (ICIP 2008), October 12-15, 2008, San Diego, California,  USA [PDF | Bibtex]

[C26] L. Di Stefano, F. Tombari,  S. Mattoccia, M. Balasso, “Multi-view access monitoring and singularization in interlocks", IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS 2008), September 1-3, 2008, Santa Fe, New Mexico,  USA [PDF | Bibtex]

[C25] P. Azzari, L. Di Stefano, F. Tombari, S. Mattoccia, “Markerless augmented reality using image mosaics", International Conference on Image and Signal Processing (ICISP 2008), Lecture Notes in Computer Science 5099, pp 413-420, Springer 2008, July 1-3, 2008, Cherbourg-Octeville, Normandy, France [PDF | Bibtex]

[C24] F. Tombari, S. Mattoccia, L. Di Stefano, E. Addimanda, “Classification and evaluation of cost aggregation methods for stereo correspondence",IEEE International Conference on Computer Vision and Pattern Recognition (CVPR 2008), June 24-26, 2008, Anchorage, Alaska [PDF | Bibtex]

[C23] F. Tombari, L. Di Stefano, S. Mattoccia, A. Galanti, “Performance evaluation of robust matching measures", 3rd International Conference on Computer Vision Theory and Applications (VISAPP 2008), January 22-25, 2008, Funchal - Madeira, Portugal [PDF | Bibtex]

[C22] F. Tombari, S. Mattoccia, L. Di Stefano, “Segmentation-based adaptive support for accurate stereo correspondence", IEEE Pacific-Rim Symposium on Image and Video Technology (PSIVT 2007), Lecture Notes in Computer Science 4872, pp 427-438, Springer 2007, December 17-19, 2007, Santiago, Chile [PDF | Bibtex]

[C21] F. Tombari, S. Mattoccia, L. Di Stefano, F. Tonelli, “Detecting motion by means of 2D and 3D information", Workshop on Multi-dimensional and Multi-view Image Processing (ACCV 2007 WS), ACCV workshop, November 19, 2007, Tokyo, Japan [PDF | Bibtex]

[C20] L. Di Stefano, F. Tombari, S. Mattoccia, E.  De Lisi, “Robust and accurate change detection under sudden illumination variations", Workshop on Multi-dimensional and Multi-view Image Processing (ACCV 2007 WS), ACCV workshop, November 19, 2007, Tokyo, Japan [PDF | Bibtex]

[C19] S. Mattoccia, F. Tombari, L. Di Stefano,“Stereo vision enabling precise border localization within a scanline optimization framework", 8th Asian Conference on Computer Vision (ACCV 2007), Lecture Notes in Computer Science 4844, Part II, pp 517-527, Springer 2007, November 18-22, 2007, Tokyo, Japan [PDF | Bibtex]

[C18] F. Tombari, L. Di Stefano, S. Mattoccia, “A robust measure for visual correspondence", 14th IAPR International Conference on Image Analysis and Processing  (ICIAP 2007), pp. 376-381, September 10-13, 2007, Modena, Italy [PDF | Bibtex]

[C17] S. Mattoccia, F. Tombari, L. Di Stefano, M. Pignoloni, “Efficient and optimal block matching for motion estimation", 14th IAPR International Conference on Image Analysis and Processing (ICIAP 2007), pp. 705-710, September 10-13, 2007, Modena, Italy [PDF | Bibtex]

[C16] F. Tombari, S. Mattoccia, L. Di Stefano, “Template Matching based on the Lp norm using sufficient conditions with incremental  approximations", IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS 2006), November  22-24, 2006, Sydney, Australia [PDF | Bibtex]

[C15] L. Di Stefano, S. Mattoccia, F. Tombari, “Speeding-up NCC-based template matching using parallel multimedia instructions", IEEE International Workshop on Computer Architecture for Machine Perception (CAMP 2005), pp 193-197, July 4-6, 2005, Palermo, Italy [PDF | Bibtex]

[C14] L. Di Stefano, S. Mattoccia, M. Mola, “A change-detection algorithm enabling intelligent background maintenance", International Conference on Image Analysis and Recognition (ICIAR 2004), Lecture Notes in Computer Science 3212, Springer  2004, pp 437-445, September 29-October 1, 2004, Porto, Portugal [PDF | Bibtex]

[C13] L. Di Stefano, S. Mattoccia, F. Tombari, “An algorithm for efficient and exhaustive template matching", International Conference on Image Analysis and Recognition (ICIAR 2004), Lecture Notes in Computer Science 3212, Springer 2004, pp 408-415, September 29-October 1, 2004, Porto, Portugal [PDF | Bibtex]

[C12] L. Di Stefano, S. Mattoccia, M. Mola, “An efficient algorithm for exhaustive template matching based on Normalized Cross Correlation", 12th IAPR International Conference on Image Analysis and Processing  (ICIAP 2003), September 17-19, 2003, Mantova, Italy [PDF | Bibtex]

[C11] L. Di Stefano, S. Mattoccia, “A sufficient condition based on the Cauchy-Schwarz inequality for efficient template matching", IEEE International Conference on Image Processing (ICIP 2003), September 14-17, 2003, Barcelona, Spain [PDF | Bibtex]

[C10] L. Di Stefano, S. Mattoccia, M. Mola, "A change detection algorithm based on structure and colour", IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS 2003), July 21-22, 2003, Miami, USA [PDF | Bibtex]

[C9] L. Di Stefano, S. Mattoccia, G. Neri, D. Piccinini, “Exploiting temporal consistency to improve stereo results", IAPR International Conference on Image and Signal Processing (ICISP 2003), June 25-27, 2003, Agadir, Morocco [PDF | Bibtex]

[C8] L. Di Stefano, M. Marchionni, S. Mattoccia, “Real time dense stereo on a personal computer”, 6th IEEE International Workshop on Computer Architectures for Machine Perception (CAMP 2003), May 12-14, 2003, New Orleans, USA [PDF | Bibtex]

[C7] L. Di Stefano, M. Marchionni, S. Mattoccia, G. Neri, “Quantitative evaluation of area-based stereo matching”, 7th International Conference on Control, Automation, Robotics and Computer Vision (ICARCV 2002), December 2-5, 2002, Singapore [PDF | Bibtex]

[C6] L. Di Stefano, M. Marchionni, S. Mattoccia, G. Neri, “Dense stereo based on the uniqueness constraint”, 16th IAPR/IEEE International Conference on Pattern Recognition  (ICPR 2002), August 11-15, 2002, Quebec City, Canada [PDF | Bibtex]

[C5] L. Di Stefano, M. Marchionni, S. Mattoccia, G. Neri, “A fast area-based stereo matching algorithm”, 15th IAPR/CIPRS International Conference on Vision Interface  (VI 2002), May 27-29, 2002, Calgary, Canada [PDF | Bibtex]

[C4] L. Di Stefano, S. Mattoccia, G. Neri, D. Piccinini , “Temporal filtering of disparity measurements”, 11th IAPR/IEEE International Conference on Image Analysis and Processing  (ICIAP 2001), September 26-28, 2001, Palermo, Italy [PDF | Bibtex]

[C3] L. Di Stefano, S. Mattoccia, “Real-time stereo for a mobility aid dedicated to the visually impaired”, 6th International Conference on Control, Automation, Robotics and Computer Vision  (ICARCV 2000), December 5-8, 2000, Singapore [PDF | Bibtex]

[C2] L. Di Stefano, S. Mattoccia, “Fast stereo matching for the VIDET system using a general purpose processor with multimedia extensions”, 5th IEEE International Workshop on Computer Architectures for Machine Perception  (CAMP 2000), September 11-13, 2000, Padova, Italy [PDF | Bibtex]

[C1] P. Arcara, L. Di Stefano, S. Mattoccia, C. Melchiorri, G. Vassura, “Perception of depth information by means of a wire-actuated haptic interface”, IEEE International Conference on Robotics and Automation  (ICRA 2000), April 24-28, 2000, San Francisco, USA [PDF | Bibtex]

Letters

[L2] S. Mattoccia, M. Casadio, I. Marchio, M. Borgatti, G. Neri, V. Gobbi, “An embedded 3D camera on FPGA", Multimedia Communications Technical Committee, IEEE Communication Society, E-Letter, Vol 8, No. 3, May 2013, [PDF]

[L1] S. Mattoccia, L. De-Maeztu, “On the accuracy and performance of local stereo algorithms for stereo correspondence", Multimedia Communications Technical Committee, IEEE Communication Society, E-Letter, Vol 6, No. 6, June 2011, [PDF

Book chapters

[B3]  S. Mattoccia, Book title: “Advances in Embedded Computer Vision”, Chapter "Stereo vision algorithms suited to constrained FPGA cameras", Edited by Branislav Kisacanin and Margrit Gelautz, 2014, Publisher: Springer [TOC | PDF | PDF]

[B2]  C. Dal Mutto, F. Dominio, P. Zanuttigh, S. Mattoccia, Book title: "Current advancements in stereo vision", Chapter "Stereo vision and scene segmentation", Edited by Asim Bhatti, July 2012, ISBN  978-953-51-0660-9, Publisher: I-Tech Education and Publishing Kirchengasse 43/3, A-1070, Vienna, Austria, [TOC | PDF]

[B1]  F. Tombari, L. Di Stefano, S. Mattoccia, Book title: "Stereo vision", Chapter "Robust visual correspondence: theory and applications", Edited by Asim Bhatti, November 2008, ISBN  978-953-7619-22-0, Publisher: I-Tech Education and Publishing Kirchengasse 43/3, A-1070, Vienna, Austria, [TOC | PDF]

Patents/Brevetti

[P6] M.Poggi, F. Aleotti, Fabio Tosi, S. Mattoccia, V. Peluso, A. Cipolletta, A. Calimera, “Method for determining the depth from a single image and system thereof”, pending (102021000007175, March 24, 2021)

[P5] M. Poggi, F. Aleotti, F. Tosi, S. Mattoccia, “Method for determining the confidence of a disparity map through a self-adaptive learning of a neural network, and sensor system thereof”, pending (102020000016054, July 2, 2020 INTELLECTUAL PROPERTY AWARD

[P4] A. Tonioni, M. Poggi, F. Tosi, S. Mattoccia, L. Di Stefano, “Depth determination method based on images, self-adaptive neural networks, and relative system”, pending (2019)

[P3] M. Poggi, D. Palllotti, F. Tosi, S. Mattoccia,”Depth determination method based on images, and relative system“, pending (102019000006964, March 23, 2021)

[P2] S. Mattoccia, L. Di Stefano, A. Annovi, “Metodo per l'individuazione e la correzione di disallineamenti di una pluralità di immagini componenti concorrenti a formare un'immagine risultante da controllare", MO2007A000032, January 30, 2007

[P1] S. Mattoccia, L. Di Stefano, “Apparecchio e metodo per il confronto di immagini digitali”, IT0001341200, September 25, 2007

Ph.D. Thesis

S. Mattoccia, "Real-time analysis of video sequences", Ph.D. Thesis in Electronic Engineering and Computer Science, Dipartimento di Elettronica, Informatica e Sistemistica (DEIS), Bologna, February 2002

Other publications

S. Mattoccia, M. Poggi, F. Tosi, F. Aleotti, “Deep learning e Computer vision: le tecnologie abilitanti del 3D", Sistemi&Impresa, ESTE - Edizioni Scientifiche Tecniche Europee Srl, pag 62-65, Febbraio 2020 [PDF]



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