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» Illumination and Camera Invariant Stereo Matching
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CVPR
2008
IEEE
15 years 26 days ago
Dense 3D reconstruction from specularity consistency
In this work, we consider the dense reconstruction of specular objects. We propose the use of a specularity constraint, based on surface normal/depth consistency, to define a matc...
Diego Nehab, Tim Weyrich, Szymon Rusinkiewicz
ECCV
1994
Springer
14 years 3 months ago
3-D Stereo Using Photometric Ratios
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 p...
Lawrence B. Wolff, Elli Angelopoulou
CAIP
2009
Springer
14 years 5 months ago
A Methodology for Evaluating Illumination Artifact Removal for Corresponding Images
Robust stereo and optical flow disparity matching is essential for computer vision applications with varying illumination conditions. Most robust disparity matching algorithms rel...
Tobi Vaudrey, Andreas Wedel, Reinhard Klette
CVPR
2000
IEEE
15 years 26 days ago
Reliable Feature Matching across Widely Separated Views
In this paper we present a robust method for automatically matching features in images corresponding to the same physical point on an object seen from two arbitrary viewpoints. Un...
Adam Baumberg
BCS
2008
14 years 9 days ago
Improved SIFT-Features Matching for Object Recognition
: The SIFT algorithm (Scale Invariant Feature Transform) proposed by Lowe [1] is an approach for extracting distinctive invariant features from images. It has been successfully app...
Faraj Alhwarin, Chao Wang, Danijela Ristic-Durrant...