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Occlusion-Aware Stereo Matching
International Journal of Computer Vision, 2016Stereo vision systems with additional flash/no-flash cues have been demonstrated to be robust to depth discontinuities. The ratio of a flash and no-flash image pair naturally provides additional scene depth information and thus can serve as a strong cue for preserving depth discontinuities.
Jintao Xu, Qingxiong Yang, Zuren Feng
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Structural matching for stereo vision
[1988 Proceedings] 9th International Conference on Pattern Recognition, 2003An approach for solving the stereo correspondence problem is suggested that is based on extracting local image structures and matching similar structures between two images. The individual matches are represented as nodes in a graph. Arcs in this graph represent local photometric, geometrical, and topological similarities between the two images.
Radu Horaud, Thomas Skordas
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2009 13th International Machine Vision and Image Processing Conference, 2009
Typically, local methods for stereo matching are fast but have relatively low degree of accuracy while global ones, though costly, achieve a higher degree of accuracy in retrieving disparity information. Recently, however, some local methods such as those based on segmentation or adaptive weights are suggested to possibly achieve more accuracy than ...
Myung-Ho Ju, Hang-Bong Kang
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Typically, local methods for stereo matching are fast but have relatively low degree of accuracy while global ones, though costly, achieve a higher degree of accuracy in retrieving disparity information. Recently, however, some local methods such as those based on segmentation or adaptive weights are suggested to possibly achieve more accuracy than ...
Myung-Ho Ju, Hang-Bong Kang
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Brightness-based Stereo Matching
[1988 Proceedings] Second International Conference on Computer Vision, 2005This paper presents a stereo matching method, based on image brightness matching, that does not rely on correlatitsn. We develop a model for how brightness changes from one irnage to another in a stereo pair. A spatially-varying multiplier is used to relate image brightnesses, so that matching of dissimilx greyvalues can occur.
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Computer Vision, Graphics, and Image Processing, 1985
Images are 2-dimensional projections of 3-dimensional scenes, therefore depth recovery is a crucial problem in image understanding, with applications in passive navigation, cartography, surveillance, and industrial robotics. Stereo analysis provides a more direct quantitative depth evaluation than techniques such as shape from shading, and its being ...
Gérard G. Medioni, Ramakant Nevatia
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Images are 2-dimensional projections of 3-dimensional scenes, therefore depth recovery is a crucial problem in image understanding, with applications in passive navigation, cartography, surveillance, and industrial robotics. Stereo analysis provides a more direct quantitative depth evaluation than techniques such as shape from shading, and its being ...
Gérard G. Medioni, Ramakant Nevatia
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2011
Designing parallel versions of sequential algorithms has attracted renewed attention, due to recent hardware advances, including various general-purpose multi-core, multiple core and many-core processors, as well as special-purpose FPGA implementations.
Georgy L. Gimel'farb +2 more
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Designing parallel versions of sequential algorithms has attracted renewed attention, due to recent hardware advances, including various general-purpose multi-core, multiple core and many-core processors, as well as special-purpose FPGA implementations.
Georgy L. Gimel'farb +2 more
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Stereo matching with partial information
SPIE Proceedings, 2013In this paper, we address the stereo matching problem in stereo videos using partially informed Markov Random Fields (MRFs) using the motion information between subsequent frames as a side information. We use the motion vectors within one of the videos to regularize the disparity estimate using this motion eld.
Y. Cem Sübakan +2 more
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Multimodal Dense Stereo Matching
2019In this paper, we propose a new approach for dense depth estimation based on multimodal stereo images. Our approach employs a combined cost function utilizing robust metrics and a transformation to an illumination independent representation. Additionally, we present a confidence based weighting scheme which allows a pixel-wise weight adjustment within ...
Max Mehltretter +3 more
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2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)., 2003
We examine a new double-layered Markov random field probabilistic framework for stereo matching and use belief propagation for approximate inference. Our initial experimental results are promising and future developments are discussed.
Li Cheng 0001, Terry Caelli
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We examine a new double-layered Markov random field probabilistic framework for stereo matching and use belief propagation for approximate inference. Our initial experimental results are promising and future developments are discussed.
Li Cheng 0001, Terry Caelli
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Neural adaptive stereo matching
Pattern Recognition Letters, 2004The present work investigates the potential of neural adaptive learning to solve the correspondence problem within a two-frame adaptive area matching approach. A novel method is proposed based on the use of the zero mean normalized cross-correlation coefficient integrated within a neural network model which uses a least-mean-square delta rule for ...
Elisabetta Binaghi +3 more
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