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Motion estimation from disparity images [PDF]
Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001, 2002 A new method for 3D rigid motion estimation from stereo is proposed in this paper. The appealing feature of this method is that it directly uses the disparity images obtained from stereo matching. We assume that the stereo rig has parallel cameras and show, in that case, the geometric and topological properties of the disparity images.
David Demirdjian, Trevor Darrell
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Sensors, 2019 In this paper, we introduce an in-depth application of high-resolution disparity map estimation using stereo images from Mars Curiosity rover’s Mastcams, which have two imagers with different resolutions.
Bulent Ayhan, Chiman Kwan
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Depth Estimation for Light-Field Images Using Stereo Matching and Convolutional Neural Networks
Sensors, 2020 The paper presents a novel depth-estimation method for light-field (LF) images based on innovative multi-stereo matching and machine-learning techniques. In the first stage, a novel block-based stereo matching algorithm is employed to compute the initial
Ségolène Rogge +2 more
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Variational disparity estimation framework for plenoptic images [PDF]
2017 IEEE International Conference on Multimedia and Expo (ICME), 2017 This paper presents a computational framework for accurately estimating the disparity map of plenoptic images. The proposed framework is based on the variational principle and provides intrinsic sub-pixel precision. The light-field motion tensor introduced in the framework allows us to combine advanced robust data terms as well as provides explicit ...
Trung-Hieu Tran +2 more
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IEEE Access, 2021 High-resolution (HR) 360° images offer great advantages wherever an omnidirectional view is necessary such as in autonomous robot systems and virtual reality (VR) applications.
Hee-Jae Kim, Je-Won Kang, Byung-Uk Lee
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Stereo Matching With Multiscale Hybrid Cost Volume
IEEE Access, 2022 Stereo matching estimates the disparity between a pair of rectified left and right images. It plays an important role in robot navigation, autonomous driving, and other related tasks.
Minhua Li +5 more
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Learning for Disparity Estimation Through Feature Constancy [PDF]
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018 Accepted by CVPR 2018, 10 pages, 3 ...
Zhengfa Liang +7 more
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Geo-spatial Information ScienceThis research work proposes a novel cost calculation method that considers shadow occlusion areas to address the issues of poor disparity estimation in urban areas, termed Matching Cost based on Shadow Properties (MCSP), error estimation of the shadow ...
Hongjun Sha +4 more
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Hierarchical disparity estimation using spatial correlation [PDF]
, 1998 [[abstract]]© 1998 Institute of Electrical and Electronics Engineers-In this paper, we propose a fast hierarchical algorithm for disparity estimation, which is based on the multiresolution block matching technique with prospective disparity vectors.
Er-Yin Fei +2 more
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Remote SensingDisparity estimation in high-resolution satellite stereo images is a critical task in remote sensing and photogrammetry. However, significant challenges arise due to the complexity of satellite stereo image scenes and the dynamic variations in ...
Qian Zhang +3 more
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