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3D Recognition and Segmentation of Objects in Cluttered Scenes.

, , and . WACV/MOTION, page 8-13. IEEE Computer Society, (2005)

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3D shape representation by fusing local and global information., , and . ISSPA, page 1-4. IEEE, (2007)Score Level Fusion of Ear and Face Local 3D Features for Fast and Expression-Invariant Human Recognition., , , and . ICIAR, volume 5627 of Lecture Notes in Computer Science, page 387-396. Springer, (2009)Improving Image-Based Localization with Deep Learning: The Impact of the Loss Function., , and . PSIVT Workshops, volume 11994 of Lecture Notes in Computer Science, page 111-124. Springer, (2019)An Expression Deformation Approach to Non-rigid 3D Face Recognition., , and . Int. J. Comput. Vis., 81 (3): 302-316 (2009)Deep Boltzmann Machines for i-Vector Based Audio-Visual Person Identification., , , and . PSIVT, volume 9431 of Lecture Notes in Computer Science, page 631-641. Springer, (2015)Generalized Joint Sparse Representation for Multimodal Biometric Fusion of Heterogeneous Features., , , and . WIFS, page 1-6. IEEE, (2018)Automated segmentation of gravel particles from depth images of gravel-soil mixtures., , , , and . Comput. Geosci., (2019)A Low Cost Visual Hull based Markerless System for the Optimization of Athletic Techniques in Outdoor Environments., , , , , and . GRAPP/IVAPP, page 49-59. SciTePress, (2013)Deep learning-based 3D local feature descriptor from Mercator projections., , , , and . Comput. Aided Geom. Des., (2019)The most discriminant subbands for face recognition: A novel information-theoretic framework., , , and . Int. J. Wavelets Multiresolution Inf. Process., 16 (5): 1850040:1-1850040:24 (2018)