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Technical Demonstration on Model Based Training, Detection and Pose Estimation of Texture-Less 3D Objects in Heavily Cluttered Scenes.

, , , , , , and . ECCV Workshops (3), volume 7585 of Lecture Notes in Computer Science, page 593-596. Springer, (2012)

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Motion segmentation and pose recognition with motion history gradients., and . WACV, page 238-244. IEEE Computer Society, (2000)A Dynamic Bayesian Network Approach to Multi-cue based Visual Tracking., , , , , and . ICPR (2), page 167-170. IEEE Computer Society, (2004)Perception for mobile manipulation and grasping using active stereo., , , , and . Humanoids, page 632-638. IEEE, (2009)STORE working memory networks for storage and recall of arbitrary temporal sequences., , and . Biological Cybernetics, 71 (6): 469-480 (1994)Fast 3D recognition and pose using the Viewpoint Feature Histogram., , , and . IROS, page 2155-2162. IEEE, (2010)Recognition and Pose Estimation of Rigid Transparent Objects with a Kinect Sensor., , and . Robotics: Science and Systems, (2012)Communication via eye blinks and eyebrow raises: video-based human-computer interfaces., , , , and . Universal Access in the Information Society, 2 (4): 359-373 (2003)Motion segmentation and pose recognition with motion history gradients., and . Mach. Vis. Appl., 13 (3): 174-184 (2002)Toward Automatic 3D Generic Object Modeling from One Single Image., , , and . 3DIMPVT, page 9-16. IEEE Computer Society, (2011)DBN Models and a Prediction Method for Visual Tracking., , , , and . SIP, page 189-194. IASTED/ACTA Press, (2003)