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3D imaging / Stereoscopy / Computer vision / Image processing / 3D scanner / RANSAC / Stereopsis / Pose / Stereo camera / Imaging / Optics / Vision


3D Pose Estimation, Tracking and Model Learning of Articulated Objects from Dense Depth Video using Projected Texture Stereo J¨urgen Sturm1 Kurt Konolige2
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Document Date: 2010-11-16 22:46:00

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OpenCV Library / University of Freiburg / /

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real-world applications / stereo processing system / projection pattern supplementing stereo systems / Stereo systems / early technology / vision systems / greedy search / block-matching algorithm / flash ladar devices / powered projection systems / real-time imaging stereo matcher / plane fitting algorithm / Line stripe systems / structured light systems / perception algorithm / /

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MIT / Autonomous Intelligent Systems Lab / U.S. Securities and Exchange Commission / Computer Science Department / National Research Council Canada / University of Freiburg / Pattern Analysis and Machine Intelligence / /

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J. Sturm / V / /

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Alaska / /

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IEEE Transactions on Pattern Analysis and Machine Intelligence / Machine Learning / /

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EM-based algorithms / perception algorithm / interesting and early technology / Remote Sensing / Machine Learning / simulation / Operating System / RANSAC-based plane fitting algorithm / Flash / block-matching algorithm / /

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