Results 1 to 10 of about 16,591 (312)
Adaptive Deconvolution-Based Stereo Matching Net for Local Stereo Matching [PDF]
Applied Sciences, 2022 In deep learning-based local stereo matching methods, larger image patches usually bring better stereo matching accuracy. However, it is unrealistic to increase the size of the image patch size without restriction.
Xin Ma +4 more
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A Low-Complexity End-to-End Stereo Matching Pipeline From Raw Bayer Pattern Images to Disparity Maps [PDF]
IEEE Access, 2021 Conventional computer vision algorithms, including stereo matching algorithms, take finely rendered color images as input. However, existing image signal processing (ISP) pipelines for color image generation are designed for photography with a goal of ...
Shengyu Gao, Hongyu Wang, Xin Lou
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Approaches for Stereo Matching [PDF]
Modeling, Identification and Control, 1995 This review focuses on the last decade's development of the computational stereopsis for recovering three-dimensional information. The main components of the stereo analysis are exposed: image acquisition and camera modeling, feature selection, feature ...
Takouhi Ozanian
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Omnidirectional Stereo Vision Study from Vertical and Horizontal Stereo Configuration
Emitter: International Journal of Engineering Technology, 2022 In stereo vision, an omnidirectional camera has high distortion compared to a standard camera, so the camera calibration is very decisive in its stereo matching.
Husein Aji Pratama +2 more
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Survey of Binocular Stereo-matching Methods Based on Deep Learning [PDF]
Jisuanji gongcheng, 2022 Binocular stereo matching is a classical problem in the field of computer vision and has been widely used in many tasks such as automated driving, remote sensing, and robot perception.The main goal of binocular stereo matching is to identify the ...
YIN Chenyang, ZHI Henghui, LI Huibin
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A-SATMVSNet: An attention-aware multi-view stereo matching network based on satellite imagery
Frontiers in Earth Science, 2023 Introduction: The stereo matching technology of satellite imagery is an important way to reconstruct real world. Most stereo matching technologies for satellite imagery are based on depth learning.
Li Lin +5 more
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ISPRS International Journal of Geo-Information, 2021 To obtain effective indoor moving target localization, a reliable and stable moving target localization method based on binocular stereo vision is proposed in this paper.
Jing Ding, Zhigang Yan, Xuchen We
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Bidirectional Stereo Matching Network With Double Cost Volumes
IEEE Access, 2021 In stereo matching, the high-quality cost volume is the key to improve the matching accuracy. Current stereo matching networks only use traditional methods or neural networks to generate one or more cost volumes.
Xiaogang Jia, Wei Chen, Zhengfa Liang
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Research and Development of Binocular Stereo Matching Algorithm
Jisuanji kexue yu tansuo, 2020 Binocular stereo vision has the advantages of low cost and wide applicability. It is extensively used in object recognition, object detection and has become the research focuses in the field of computer vision.
ZHAO Chenyuan, LI Wenxin, ZHANG Qingxi
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Self-Supervised Stereo Matching Method Based on SRWP and PCAM for Urban Satellite Images
Remote Sensing, 2022 In this paper, we propose a self-supervised stereo matching method based on superpixel random walk pre-matching (SRWP) and parallax-channel attention mechanism (PCAM). Our method is divided into two stages, training and testing.
Wen Chen, Hao Chen, Shuting Yang
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