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SURFing the point clouds: Selective 3D spatial pyramids for category-level object recognition.

, , , and . CVPR, page 3458-3465. IEEE Computer Society, (2012)

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Continuous variance estimation in video surveillance sequences with high illumination changes., , , and . Signal Process., 89 (7): 1412-1416 (2009)Computational load reduction in decision functions using support vector machines., , , , and . Signal Process., 89 (10): 2066-2071 (2009)An optimization on pictogram identification for the road-sign recognition task using SVMs., , , , and . Comput. Vis. Image Underst., 114 (3): 373-383 (2010)SURFing the point clouds: Selective 3D spatial pyramids for category-level object recognition., , , and . CVPR, page 3458-3465. IEEE Computer Society, (2012)Mobile Robot Localization through Identifying Spatial Relations from Detected Corners., , , , and . IWINAC (2), volume 6687 of Lecture Notes in Computer Science, page 371-380. Springer, (2011)Algebraic-Distance Minimization of Lines and Ellipses for Traffic Sign Shape Localization., , , , and . IbPRIA (2), volume 4478 of Lecture Notes in Computer Science, page 540-547. Springer, (2007)Evaluation of shape classification techniques based on the signature of the blob., , , , and . Signal Process., 92 (1): 63-75 (2012)Automatic Control of Video Surveillance Camera Sabotage., , , , and . IWINAC (2), volume 4528 of Lecture Notes in Computer Science, page 222-231. Springer, (2007)Recognizing in the depth: Selective 3D Spatial Pyramid Matching Kernel for object and scene categorization., , , and . Image Vis. Comput., 32 (12): 965-978 (2014)Clustering of Trajectories in Video Surveillance Using Growing Neural Gas., , , , and . IWINAC (1), volume 6686 of Lecture Notes in Computer Science, page 461-470. Springer, (2011)