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Appearance reconstruction of three dimensional models from real images

Yilmaz, U
Mulayim, AY
Atalay, Mehmet Volkan
An image based model reconstruction system is described. Real images of a rigid object acquired under a simple but controlled environment are used to recover the three dimensional geometry and the surface appearance. Based on a multi-image calibration method, an algorithm to extract the rotation axis of a turn-table has been developed. Furthermore, this can be extended to estimate robustly the initial bounding volume of the object to be modeled. The coarse volume obtained, is then carved using a stereo correction method which removes the disadvantages of silhouette based reconstruction by photoconsistency. The concept of surface particles is adapted in order to extract a texture map for the model. Some metrics are defined to measure the quality of the reconstructed models.