Paper
15 November 2007 Filtering strategy on affine invariant feature detecting based on information content and distribution constraints
Liang Cheng, Jianya Gong, Peng Han, Lei Cai
Author Affiliations +
Proceedings Volume 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition; 678609 (2007) https://doi.org/10.1117/12.740252
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China
Abstract
Stereo matching is one of the most important and challenging subjects in computer vision, digital photogrammetry, and image understanding. For the purpose of wide-baseline stereo matching, a novel approach on high-quality affine invariant feature extraction is proposed. The key contribution of the novel approach is a filtering strategy for affine invariant features detecting based on information content and spatial dispersion quality constraints. The essential idea is to remove the features with low information content and bad distribution, just select the high-quality features (high information content and good distribution). Based on the filtering strategy, an automatic algorithm on high-quality affine invariant feature extraction is introduced. The experiment using image sequences with different texture conditions proves that our algorithm can get much higher repeatability than the other algorithms, which is more suitable for subsequent wide baseline stereo matching.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Liang Cheng, Jianya Gong, Peng Han, and Lei Cai "Filtering strategy on affine invariant feature detecting based on information content and distribution constraints", Proc. SPIE 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition, 678609 (15 November 2007); https://doi.org/10.1117/12.740252
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Sensors

Image quality

Feature extraction

Detection and tracking algorithms

Image information entropy

Image filtering

Evolutionary algorithms

RELATED CONTENT

A new affine-invariant image matching method based on SIFT
Proceedings of SPIE (September 11 2013)
Object detection algorithms based on deep learning
Proceedings of SPIE (October 13 2022)
A joint mechanism algorithm for object detection
Proceedings of SPIE (May 06 2019)
Multiscale kernel method for image matching
Proceedings of SPIE (November 15 2007)

Back to Top