3D Reconstruction of Human Motion from Video
نویسندگان
چکیده
This paper presents a novel framework for 3D full body reconstruction of human motion from uncalibrated monocular video data. We first detect and track feature sets from video sequences by employing MSER and SURF feature detection techniques together with prior information obtained from the motion capture database. By deriving suitable feature sets from both video and motion capture data, we are able to employ fast motion retrieval techniques to find the best relevant prior poses. The resulting 3D motion sequences are reconstructed by an energy minimization process that takes multiple prior terms into account.
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