Journal Article10.1016/J.IMAVIS.2004.03.009
A fast area-based stereo matching algorithm
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TL;DR: The proposed area-based stereo algorithm relies on the uniqueness constraint and on a matching process that rejects previous matches as soon as more reliable ones are found, and is compared with bidirectional matching.
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About: This article is published in Image and Vision Computing. The article was published on 01 Oct 2004. The article focuses on the topics: Matching (graph theory).
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Citations
Review of stereo vision algorithms: From software to hardware
TL;DR: An explicit analysis of the existing stereo matching methods, up to date, is presented and the presented algorithms are discussed in terms of speed, accuracy, coverage, time consumption, and disparity range.
440
A fast normalized cross-correlation calculation method for motion estimation
Jianwen Luo,Elisa E. Konofagou +1 more
TL;DR: High quality, high spatial resolution, and high calculation speed can be all simultaneously obtained using the proposed methodology, and could prove very useful and flexible for real-time motion estimation as well as in other fields such as optical flow and image registration.
394
Robust Registration of Multimodal Remote Sensing Images Based on Structural Similarity
TL;DR: The results show that HOPCncc is robust against complex nonlinear radiometric differences and outperforms the state-of-the-art similarities metrics (i.e., NCC and mutual information) in matching performance.
331
Review of stereo vision algorithms and their suitability for resource-limited systems
TL;DR: This work provides a comprehensive review of stereo vision algorithms with specific emphasis on real-time performance to identify those suitable for resource-limited systems and to encourage further research and development of the same.
303
Robust Registration of Multimodal Remote Sensing Images Based on Structural Similarity
TL;DR: Zhang et al. as mentioned in this paper proposed a novel feature descriptor named the Histogram of Orientated Phase Congruency (HOPC), which is based on the structural properties of images.
257
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