EigenFairing: 3D Model Fairing using Image Coherence
Pragyana Mishra, Omead Amidi, Takeo Kanade

TL;DR
EigenFairing is a novel technique that refines 3D surface models by repositioning vertices to improve coherence with observed images, reducing textural artifacts and better approximating the real surface.
Contribution
The paper introduces EigenFairing, a new method for 3D model refinement that uses image coherence and Eigenspace texture analysis to improve surface and texture accuracy.
Findings
Reduces textural artifacts in 3D models.
Improves geometric and textural coherence with input images.
Enhances the accuracy of 3D surface models.
Abstract
A surface is often modeled as a triangulated mesh of 3D points and textures associated with faces of the mesh. The 3D points could be either sampled from range data or derived from a set of images using a stereo or Structure-from-Motion algorithm. When the points do not lie at critical points of maximum curvature or discontinuities of the real surface, faces of the mesh do not lie close to the modeled surface. This results in textural artifacts, and the model is not perfectly coherent with a set of actual images -- the ones that are used to texture-map its mesh. This paper presents a technique for perfecting the 3D surface model by repositioning its vertices so that it is coherent with a set of observed images of the object. The textural artifacts and incoherence with images are due to the non-planarity of a surface patch being approximated by a planar face, as observed from multiple…
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