Virtual Fashion Show Using Real-Time Markerless Motion Capture
نویسندگان
چکیده
This paper presents a motion capture system using two cameras that is capable of estimating a constrained set of human postures in real time. We first obtain a 3D shape model of a person to be tracked and create a posture dictionary consisting of many posture examples. The posture is estimated by hierarchically matching silhouettes generated by projecting the 3D shape model deformed to have the dictionary poses onto the image plane with the observed silhouette in the current image. Based on this method, we have developed a virtual fashion show system that renders a computer graphics-model moving synchronously to a real fashion model, but wearing different clothes.
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