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By João Manuel R. S. Tavares, Teresa C. S. Azevedo and Mário A. P. Vaz


Three-dimensional (3D) geometric reconstruction and characterization of external anatomical structures from images has been a major research topic in Computer Vision. However, it is still a complex problem to solve, when automation, speed and precision are required. 3D human models are normally built using 3D scanners. Although frequently expensive, they are easy to use and can provide 3D models of great accuracy. Recently, volumetric methods have been successfully used in 3D reconstruction of objects with complex shapes. Comparing with the more usual stereo-based methods, they are more efficient in building 3D models when the objects involved have smooth surfaces. As they work in the objects volumetric space, their main advantage is to be free of any matching process between the images used. Matching is always very complex when smooth objects are considered as they do not have strong image features. Our work is based on Generalized Voxel Coloring (GVC) method, [1]. GVC does not impose any restriction on the objects shape or in the camera(s) motion. The images to be used in the reconstruction process are acquired by a simple fixed off-the-shelf CC

Year: 2012
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