| Unique signatures of histograms for local surface description F Tombari, S Salti, L Di Stefano Computer Vision–ECCV 2010: 11th European Conference on Computer Vision …, 2010 | 1933 | 2010 |
| SHOT: Unique signatures of histograms for surface and texture description S Salti, F Tombari, L Di Stefano Computer vision and image understanding 125, 251-264, 2014 | 1022 | 2014 |
| Performance evaluation of 3D keypoint detectors F Tombari, S Salti, L Di Stefano International Journal of Computer Vision 102 (1), 198-220, 2013 | 454 | 2013 |
| A fast area-based stereo matching algorithm L Di Stefano, M Marchionni, S Mattoccia Image and vision computing 22 (12), 983-1005, 2004 | 454 | 2004 |
| A simple and efficient connected components labeling algorithm L Di Stefano, A Bulgarelli Proceedings 10th international conference on image analysis and processing …, 1999 | 439 | 1999 |
| Unique shape context for 3D data description F Tombari, S Salti, L Di Stefano Proceedings of the ACM workshop on 3D object retrieval, 57-62, 2010 | 425 | 2010 |
| A combined texture-shape descriptor for enhanced 3D feature matching F Tombari, S Salti, L Di Stefano 2011 18th IEEE international conference on image processing, 809-812, 2011 | 422 | 2011 |
| Augmented reality for aircraft maintenance training and operations support F De Crescenzio, M Fantini, F Persiani, L Di Stefano, P Azzari, S Salti IEEE Computer Graphics and Applications 31 (1), 96-101, 2010 | 330 | 2010 |
| Real-time self-adaptive deep stereo A Tonioni, F Tosi, M Poggi, S Mattoccia, LDI Stefano Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 317 | 2019 |
| Segmentation-based adaptive support for accurate stereo correspondence F Tombari, S Mattoccia, L Di Stefano Advances in Image and Video Technology: Second Pacific Rim Symposium, PSIVT …, 2007 | 291 | 2007 |
| Classification and evaluation of cost aggregation methods for stereo correspondence F Tombari, S Mattoccia, L Di Stefano, E Addimanda 2008 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2008 | 290 | 2008 |
| ZNCC-based template matching using bounded partial correlation L Di Stefano, S Mattoccia, F Tombari Pattern recognition letters 26 (14), 2129-2134, 2005 | 290 | 2005 |
| Object recognition in 3d scenes with occlusions and clutter by hough voting F Tombari, L Di Stefano 2010 Fourth Pacific-Rim Symposium on Image and Video Technology, 349-355, 2010 | 260 | 2010 |
| A global hypotheses verification method for 3d object recognition A Aldoma, F Tombari, L Di Stefano, M Vincze Computer Vision–ECCV 2012: 12th European Conference on Computer Vision …, 2012 | 238 | 2012 |
| Adaptive appearance modeling for video tracking: Survey and evaluation S Salti, A Cavallaro, L Di Stefano IEEE Transactions on Image Processing 21 (10), 4334-4348, 2012 | 199 | 2012 |
| Multimodal cue integration through hypotheses verification for rgb-d object recognition and 6dof pose estimation A Aldoma, F Tombari, J Prankl, A Richtsfeld, L Di Stefano, M Vincze 2013 IEEE international conference on robotics and automation, 2104-2111, 2013 | 189 | 2013 |
| Fast template matching using bounded partial correlation L Di Stefano, S Mattoccia Machine Vision and Applications 13, 213-221, 2003 | 178 | 2003 |
| On the repeatability of the local reference frame for partial shape matching A Petrelli, L Di Stefano 2011 International Conference on Computer Vision, 2244-2251, 2011 | 177 | 2011 |
| Performance evaluation of full search equivalent pattern matching algorithms W Ouyang, F Tombari, S Mattoccia, L Di Stefano, WK Cham IEEE transactions on pattern analysis and machine intelligence 34 (1), 127-143, 2011 | 165 | 2011 |
| Traffic sign detection via interest region extraction S Salti, A Petrelli, F Tombari, N Fioraio, L Di Stefano Pattern Recognition 48 (4), 1039-1049, 2015 | 151 | 2015 |
Federico TombariGoogle, TU Munichبريد إلكتروني تم التحقق منه على in.tum.de