JOURNAL ARTICLE

Viewpoint invariant texture matching and wide baseline stereo

Abstract

We describe and demonstrate a texture region descriptor which is invariant to affine geometric and photometric transformations, and insensitive to the shape of the texture region. It is applicable to texture patches which are locally planar and have stationary statistics. The novelty of the descriptor is that it is based on statistics aggregated over the region, resulting in richer and more stable descriptors than those computed at a point. Two texture matching applications of this descriptor are demonstrated: (1) it is used to automatically identify, regions of the same type of texture, but with varying surface pose, within a single image; (2) it is used to support wide baseline stereo, i.e. to enable the automatic computation of the epipolar geometry between two images acquired from quite separated viewpoints. Results are presented on several sets of real images.

Keywords:
Artificial intelligence Epipolar geometry Computer vision Texture compression Projective texture mapping Invariant (physics) Texture filtering Image texture Affine transformation Texture (cosmology) Computer science Bidirectional texture function Pattern recognition (psychology) Computation Mathematics Texture atlas Segmentation Image segmentation Image (mathematics) Geometry Algorithm

Metrics

189
Cited By
16.80
FWCI (Field Weighted Citation Impact)
27
Refs
0.99
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Advanced Image and Video Retrieval Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Advanced Vision and Imaging
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Robotics and Sensor-Based Localization
Physical Sciences →  Engineering →  Aerospace Engineering

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