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13 April 2001 Multicamera 3D modeling system to digitize human head and body
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Proceedings Volume 4298, Three-Dimensional Image Capture and Applications IV; (2001)
Event: Photonics West 2001 - Electronic Imaging, 2001, San Jose, CA, United States
A multi-camera 3D modeling system to digitize a human head and body is presented in this paper. The main features of this system are as follows: 1) Fast capturing: Both of texture images and pattern images can be taken within a few seconds using multiple digital still cameras which are set around the target human. Slide projectors are also set to provide a color line patterned light on the target for pattern image capturing, 2) Realistic Shape and Texture: The whole shape and photo-realistic textures of the human head including hair can be digitized at a time on a personal computer, and 3) Hybrid Algorithm: Our modeling algorithm is based on a hybrid method where the Shape-from-Silhouette technique and the Active-Stereo technique are combined. In the first step, the rough shape of the target is estimated in a voxel space using our Extended Shape-from-Silhouette method. In the next step, the shape is refined based on the depth-map data that is calculated using a multi-camera active stereo method. This combination makes up for the shortcomings of each method. Our system has been applied to the digitizing several Japanese people using sixteen cameras for texture image capturing and twelve cameras and two projectors for pattern image capturing. Its capturing time is approximately three seconds and calculation time is about 15-20 minutes on a personal computer with the Pentium-III processor (600MHz) and 512MB memory to digitize the whole shape as well as the texture of the human head and body.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Kouta Fujimura, Yukinori Matsumoto, and Tetsuichi Emi "Multicamera 3D modeling system to digitize human head and body", Proc. SPIE 4298, Three-Dimensional Image Capture and Applications IV, (13 April 2001);

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