Results 21 to 30 of about 44,252 (301)
SegStereo: Exploiting Semantic Information for Disparity Estimation [PDF]
, 2018 Disparity estimation for binocular stereo images finds a wide range of applications. Traditional algorithms may fail on featureless regions, which could be handled by high-level clues such as semantic segments. In this paper, we suggest that appropriate incorporation of semantic cues can greatly rectify prediction in commonly-used disparity estimation ...
Guorun Yang +4 more
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Welsch Based Multiview Disparity Estimation [PDF]
2021 IEEE International Conference on Image Processing (ICIP), 2021 Published in 2021 IEEE International Conference on Image Processing (ICIP), 5 ...
James L. Gray +2 more
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Automatic disparity search range estimation in deep learning stereo [PDF]
, 2021 This research concerns the deep stereo networks used for inferring depth from images captured with a stereo pair of cameras. Central to the process is the measurement of disparity between the images, with the computational effort depending on the limit ...
Perera, Ruveen
core +1 more source
Disparity Estimation with Scene Depth Cues [PDF]
2021 IEEE International Conference on Multimedia and Expo (ICME), 2021 The cost volume plays a pivotal role in stereo matching, usually working as an optimization object. However, we find it also can provide effective scene prior to guide the disparity learning, as it reflects well the depth relationship between scenario objects.
Lei Chen +4 more
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A novel factor graph-based optimization technique for stereo correspondence estimation
Scientific Reports, 2022 Dense disparities among multiple views are essential for estimating the 3D architecture of a scene based on the geometrical relationship between the scene and the views or cameras.
Hanieh Shabanian +1 more
doaj +1 more source
Aggregating disparate estimates of chance [PDF]
Games and Economic Behavior, 2006 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Daniel N. Osherson, Moshe Y. Vardi
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AMBIGUITY CONCEPT IN STEREO MATCHING PIPELINE [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2021 In a 3D reconstruction pipeline, stereo matching step aims at computing a disparity map representing the depth between image pair. The evaluation of the disparity map can be done through the estimation of a confidence metric.
E. Sarrazin +9 more
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Unsupervised Stereo Matching with Surface Normal Assistance for Indoor Depth Estimation
Sensors, 2023 To obtain more accurate depth information with stereo cameras, various learning-based stereo-matching algorithms have been developed recently. These algorithms, however, are significantly affected by textureless regions in indoor applications. To address
Xiule Fan +3 more
doaj +1 more source
AutoDispNet: Improving Disparity Estimation With AutoML [PDF]
2019 IEEE/CVF International Conference on Computer Vision (ICCV), 2019 In Proceedings of the 2019 IEEE International Conference on Computer Vision (ICCV)
Tonmoy Saikia +4 more
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Efficient Propagation Method for Angularly Consistent 4D Light Field Disparity Maps
IEEE Access, 2023 Light Field (LF) imaging, since it conveys both spatial and angular scene information, can facilitate computer vision tasks such as depth/disparity estimation.
Maryam Hamad +3 more
doaj +1 more source