Accurate Natural Surface Reconstruction from Polynocular Stereo
We show in this chapter that the bottom-up approach to 3D surface model reconstruction is feasible and may be used in applications requiring precision and accuracy. We focus on acquiring 3D models of natural objects for medical applications, augmented reality, and telepresence. The reconstruction consists of several successive steps in which more complex models are inferred from simpler models. The low-level model we use is a set of unorganized points in 3-space obtained from poly-nocular stereo. The intermediate-level model consists of local geometric primitives which we call fish-scales. Fish-scales are reconstructed from the unorganized point model by local PCA. The high-level model is a discrete pseudo-surface. It is reconstructed by linking together close and orientation-compatible fish-scales. The ungrouped isolated points and the unlinked fish-scales remain unexplained by the higher-level models. The approach is demonstrated on textured 3D geometric model reconstruction of a human face.
KeywordsModel Reconstruction Stereo Match Epipolar Line Unorganized Point Disparity Space
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