Federico Tombari;Alessandro Franchi;Luigi Di Stefano, BOLD Features to Detect Texture-less Objects, in: 2013 IEEE International Conference on Computer Vision, IEEE, 2013, pp. 1265 - 1272 (atti di: 2013 IEEE International Conference on Computer Vision, Sydney, Australia, 1-8 Dec. 2013) [Contribution to conference proceedings]
Patent n. US9495607 B2, Describing objects using edge-pixel-feature descriptors.
Patent n. 9131163, Efficient compact descriptors in visual search systems.
Patent n. US 9131163B2, Efficient compact descriptors in visual search systems.
Daniele Palossi;Federico Tombari;Samuele Salti;Martino Ruggiero;Luigi Di Stefano;Luca Benini, GPU-SHOT: Parallel Optimization for Real-Time 3D Local Description2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops, in: 2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2013 IEEE Conference Proceedings, 2013, pp. 584 - 591 (atti di: Computer Vision and Pattern Recognition Workshops (CVPRW), 2013 IEEE Conference on, Portland, OR, 23-28 June 2013) [Contribution to conference proceedings]
Nicola Fioraio; Luigi Di Stefano, Joint Detection, Tracking and Mapping by Semantic Bundle Adjustment, in: Computer Vision and Pattern Recognition (CVPR), 2013 IEEE Conference on, IEEE, 2013, pp. 1538 - 1545 (atti di: Computer Vision and Pattern Recognition (CVPR), Portland, OR (USA), 23-28 June 2013) [Contribution to conference proceedings]
Samuele Salti; Alessandro Lanza; Luigi Di Stefano, Keypoints from Symmetries by Wave Propagation, in: Proc. of the 2013 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), IEEE, 2013, pp. 2898 - 2905 (atti di: 13 IEEE Conference on, Portland, OR - USA, 23-28 June 2013) [Contribution to conference proceedings]
A. Aldoma; F. Tombari; J. Prankl; A. Richtsfeld; L. Di Stefano; M. Vincze, Multimodal cue integration through Hypotheses Verification for RGB-D object recognition and 6DOF pose estimation, in: 2013 IEEE International Conference on Robotics and Automation, New York, IEEE, 2013, 1, pp. 2104 - 2111 (atti di: 2013 IEEE International Conference on Robotics and Automation, Karlsruhe, 6-10 May 2013) [Contribution to conference proceedings]
Michele Magno;Federico Tombari;Davide Brunelli;Luigi Di Stefano;Luca Benini, Multimodal Video Analysis on Self-Powered Resource-Limited Wireless Smart Camera, «IEEE JOURNAL OF EMERGING AND SELECTED TOPICS IN CIRCUITS AND SYSTEMS», 2013, 3, pp. 223 - 235 [Scientific article]
Samuele Salti; Luigi Di Stefano, On-line Support Vector Regression of the transition model for the Kalman filter, «IMAGE AND VISION COMPUTING», 2013, 31, pp. 487 - 501 [Scientific article]
F. Tombari; S. Salti; L. Di Stefano, Performance Evaluation of 3D Keypoint Detectors, «INTERNATIONAL JOURNAL OF COMPUTER VISION», 2013, 102, pp. 198 - 220 [Scientific article]
Nicola Fioraio; Gregorio Cerri; Luigi Di Stefano, Towards Semantic KinectFusion, in: Image Analysis and Processing – ICIAP 2013, Springer, 2013, 8157, pp. 299 - 308 (atti di: 17th International Conference on Image Analysis and Processing (ICIAP), Napoli (IT), 9-13 Settembre 2013) [Contribution to conference proceedings]
A. Aldoma; F. Tombari; L. Di Stefano; M. Vincze, A Global Hypotheses Verification Method for 3D Object Recognition, in: 12th European Conference on Computer Vision, ProceedingsLecture Notes in Computer Science 7574, HEIDELBERG, Springer Berlin Heidelberg, 2012, 3, pp. 511 - 524 (atti di: 12th European Conference on Computer Vision, Firenze, Italia, 7-13 Ottobre 2012) [Contribution to conference proceedings]
A. Petrelli; L. Di Stefano, A repeatable and efficient canonical reference for surface matching, in: Proceedings of the 2012 Second Joint 3DIM/3DPVT Conference: 3D Imaging, Modeling, Processing, Visualization & Transmission., LOS ALAMITOS, CA, IEEE, 2012, pp. 403 - 410 (atti di: 2012 Second Joint 3DIM/3DPVT Conference: 3D Imaging, Modeling, Processing, Visualization & Transmission., Zurigo, 13-15 Ottobre 2012) [Contribution to conference proceedings]
S. Salti; A. Cavallaro; L. Di Stefano, Adaptive Appearance Modeling for Video Tracking: Survey and Evaluation, «IEEE TRANSACTIONS ON IMAGE PROCESSING», 2012, 21, pp. 4334 - 4348 [Scientific article]
