Recovering Epipolar Geometry from Images of Smooth Surfaces
Oleg Kupervasser

TL;DR
This paper introduces four novel methods for recovering epipolar geometry from images of smooth surfaces, overcoming the challenge of lacking feature points, with two methods providing exact results and two offering approximate solutions.
Contribution
The paper presents four new methods for epipolar geometry recovery from smooth surfaces, including two exact and two approximate techniques based on illumination and curvature features.
Findings
Exact methods (ICPM and OTPM) produce correct results for real images.
Approximate methods (CCPM and CTPM) yield finite solution sets.
Outline and illumination points are unaffected by brightness inconsistencies.
Abstract
We present four methods for recovering the epipolar geometry from images of smooth surfaces. In the existing methods for recovering epipolar geometry corresponding feature points are used that cannot be found in such images. The first method is based on finding corresponding characteristic points created by illumination (ICPM - illumination characteristic points' method (PM)). The second method is based on correspondent tangency points created by tangents from epipoles to outline of smooth bodies (OTPM - outline tangent PM). These two methods are exact and give correct results for real images, because positions of the corresponding illumination characteristic points and corresponding outline are known with small errors. But the second method is limited either to special type of scenes or to restricted camera motion. We also consider two more methods which are termed CCPM (curve…
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