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3-D Stereo Using Photometric Ratios Lawrence B. Wolff and Elli Angelopoulou
 

Summary: 3-D Stereo Using Photometric Ratios
Lawrence B. Wolff and Elli Angelopoulou
Computer Vision Laboratory
Department of Computer Science, The Johns Hopkins University
Baltimore, MD 21218
Abstract. We present a novel robust methodology for corresponding a dense
set of points on an object surface from photometric values, for 3-D stereo
computation of depth. We use two stereo pairs of images, each pair taken of
exactly the same scene but under different illumination. By respectively divid-
ing the left images and the right images of these pairs, a stereo pair of photo-
metric ratio images is produced. We formally show that for diffuse reflection
the photometric ratio is invariant to camera characteristics, surface albedo, and
viewpoint. Therefore the same photometric ratio in both images of a stereo
pair implies the same equivalence class of geometric physical constraints. We
derive a shape-from-stereo methodology applicable to perspective views and
not requiring precise knowledge of illumination conditions. This method is
particularly applicable to smooth featureless surfaces. Experimental results of
our technique on smooth objects of known ground truth shape are accurate to
within 1% depth accuracy.
1 Introduction

  

Source: Angelopoulou, Elli - Department of Computer Science, Friedrich Alexander University Erlangen Nürnberg

 

Collections: Computer Technologies and Information Sciences