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Stereo matching using cost volume fusion for high dynamic range scenes

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1 Published in 2017 at "Electronics Letters"

DOI: 10.1049/el.2017.1767

Abstract: A method is proposed to obtain accurate disparity maps for high dynamic range (HDR) scenes using stereo image pairs acquired under different exposure times and viewpoints. In HDR scenes, saturated pixels such as too-dark or… read more here.

Keywords: high dynamic; stereo matching; dynamic range; cost volume ... See more keywords

HCVNet: Binocular Stereo Matching via Hybrid Cost Volume Computation Module With Attention

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1 Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3203175

Abstract: Binocular stereo matching, a computer vision task typically using cost volume constructed from the left and right feature maps to estimate disparity and depth, is widely applied in 3D reconstruction, autonomous driving and robotics navigation.… read more here.

Keywords: cost; feature; cost volume; attention ... See more keywords

Stereo Matching With Multiscale Hybrid Cost Volume

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2 Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3207169

Abstract: 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. Nowadays, convolutional neural networks based on deep… read more here.

Keywords: cost; cost volume; tex math; inline formula ... See more keywords

Deep Progressive Fusion Stereo Network

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1 Published in 2022 at "IEEE Transactions on Intelligent Transportation Systems"

DOI: 10.1109/tits.2021.3134416

Abstract: Stereo matching depth estimation for rectified image pairs is of great importance to many compute vision tasks, specifically in autonomous driving. With the flourishing of convolution neural networks, responsible depth estimation of stereo matching with… read more here.

Keywords: network; cost; cost volume; stereo ... See more keywords

Deep Depth from Uncalibrated Small Motion Clip

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1 Published in 2021 at "IEEE Transactions on Pattern Analysis and Machine Intelligence"

DOI: 10.1109/tpami.2019.2946806

Abstract: We propose a novel approach to infer a high-quality depth map from a set of images with small viewpoint variations. In general, techniques for depth estimation from small motion consist of camera pose estimation and… read more here.

Keywords: cost volume; depth; geometry; small motion ... See more keywords

Cost Volume Pyramid Based Depth Inference for Multi-View Stereo.

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1 Published in 2021 at "IEEE transactions on pattern analysis and machine intelligence"

DOI: 10.1109/tpami.2021.3082562

Abstract: We propose a cost volume-based neural network for depth inference from multi-view images. We demonstrate that building a cost volume pyramid in a coarse-to-fine manner instead of constructing a cost volume at a fixed resolution… read more here.

Keywords: cost; cost volume; depth inference; volume pyramid ... See more keywords