PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

The Light-Path Less Traveled
S Ramalingham, Sofien Bouaziz, Peter Sturm and Philip Torr
In: CVPR 2011, June 21-23, 2011, Colorado Springs.

Abstract

This paper extends classical object pose and relative camera motion estimation algorithms for imaging sensors sampling the scene through light-paths. Many algorithms in multi-view geometry assume that every pixel observes light traveling in a single line in space. We wish to relax this assumption and address various theoretical and practical issues in modeling camera rays as piece-wise linearpaths. Such paths consisting of finitely many linear segments are typical of any simple camera configuration with reflective and refractive elements. Our main contribution is to propose efficient algorithms that can work with the complete light-path without knowing the correspondence between their individual segments and the scene points. Second, we investigate light-paths containing infinitely many and small piece-wise linear segments that can be modeled using simple parametric curves such as conics. We show compelling simulations and real experiments, involving catadioptric configurations and mirages, to validate our study.

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EPrint Type:Conference or Workshop Item (Paper)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Machine Vision
Learning/Statistics & Optimisation
ID Code:8329
Deposited By:Sunando Sengupta
Deposited On:20 October 2011