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Single-Image Depth ...
Single-Image Depth Prediction Makes Feature Matching Easier
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- Toft, Carl, 1990 (författare)
- Chalmers tekniska högskola,Chalmers University of Technology
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Turmukhambetov, Daniyar (författare)
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- Sattler, Torsten, 1983 (författare)
- Chalmers tekniska högskola,Chalmers University of Technology
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- Kahl, Fredrik, 1972 (författare)
- Chalmers tekniska högskola,Chalmers University of Technology
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- Brostow, Gabriel J. (författare)
- University College London (UCL)
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(creator_code:org_t)
- 2020-10-10
- 2020
- Engelska.
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Ingår i: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). - Cham : Springer International Publishing. - 1611-3349 .- 0302-9743. ; 12361 LNCS, s. 473-492
- Relaterad länk:
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http://arxiv.org/pdf...
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https://doi.org/10.1...
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https://research.cha...
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Abstract
Ämnesord
Stäng
- Good local features improve the robustness of many 3D re-localization and multi-view reconstruction pipelines. The problem is that viewing angle and distance severely impact the recognizability of a local feature. Attempts to improve appearance invariance by choosing better local feature points or by leveraging outside information, have come with pre-requisites that made some of them impractical. In this paper, we propose a surprisingly effective enhancement to local feature extraction, which improves matching. We show that CNN-based depths inferred from single RGB images are quite helpful, despite their flaws. They allow us to pre-warp images and rectify perspective distortions, to significantly enhance SIFT and BRISK features, enabling more good matches, even when cameras are looking at the same scene but in opposite directions.
Ämnesord
- TEKNIK OCH TEKNOLOGIER -- Annan teknik -- Mediateknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Other Engineering and Technologies -- Media Engineering (hsv//eng)
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datorseende och robotik (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Vision and Robotics (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Medicinteknik -- Medicinsk bildbehandling (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Medical Engineering -- Medical Image Processing (hsv//eng)
Nyckelord
- Image matching
- Local feature matching
Publikations- och innehållstyp
- kon (ämneskategori)
- ref (ämneskategori)
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