Abstract
Modeling from silhouettes is one of the main technologies for 3D reconstruction in computer vision. The existing methods are generally divided into two classes: volume-based approaches and surface-based approaches. The former are robust for complex objects but inaccurate, while the latter are accurate but time consuming and usually suffer from numerical instabilities. This paper proposes a novel method to compute exact visual hull by taking advantage of surface-based approaches while retaining the simplicity and robustness of volume-based approaches. To this aim, a line-based model is built for each cube on the edge of octree volume structure of object. Convex surface points of visual hull in line-based model are searched by the idea of surface-based approaches. Experiments with real data are conducted to test the efficiency and exactness of our method.
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