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Robust Recognition and Pose Determination of 3-D Objects Using Range Images in Eigenspace.

, and . 3DIM, page 171-178. IEEE Computer Society, (2001)

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Optimization Framework for Learning a Hierarchical Shape Vocabulary for Object Class Detection., , and . BMVC, page 1-12. British Machine Vision Association, (2009)Performance Characterization of Image Feature Detectors in Relation to the Scene Content Utilizing a Large Image Database., , , , and . CoRR, (2017)Robust Vector Quantization by MDL., and . NC, page 247-253. ICSC Academic Press, International Computer Science Conventions, Canada / Switzerland, (1998)Continuous Learning of Simple Visual Concepts Using Incremental Kernel Density Estimation., , and . VISAPP (1), page 598-604. INSTICC - Institute for Systems and Technologies of Information, Control and Communication, (2008)Learning Compositional Hierarchies of a Sensorimotor System., and . IDA, volume 8207 of Lecture Notes in Computer Science, page 450-461. Springer, (2013)A Direct Recovery of Superquadric Models in Range Images Using Recover-and-Select Paradigm., , and . ECCV (1), volume 800 of Lecture Notes in Computer Science, page 309-318. Springer, (1994)Automatic Selection of Reference Views for Image-Based Scene Representations., , and . ECCV (1), volume 1064 of Lecture Notes in Computer Science, page 526-535. Springer, (1996)Towards deep compositional networks., , , and . ICPR, page 3470-3475. IEEE, (2016)Part-based room categorization for household service robots., , , and . ICRA, page 2287-2294. IEEE, (2016)Feature selection for object detection: The best group vs. the group of best., and . MIPRO, page 1192-1197. IEEE, (2014)