A flexible and configurable GPGPU stereo matching framework
Sign Up to like & getrecommendations! Published in 2020 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-020-08756-2
Abstract: This paper presents a practical framework that consists of various local to global stereo matching algorithms on a general purpose computing on graphics processing units platform. The flexible framework provides users with a selection of… read more here.
Keywords: stereo; framework; matching framework; stereo matching ... See more keywords
Hybrid cost aggregation for dense stereo matching
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DOI: 10.1007/s11042-020-09127-7
Abstract: Matching cost initialization and aggregation are two major steps in the stereo matching framework. For dense stereo matching, a matching cost needs to be computed at each pixel for all disparities within the search range… read more here.
Keywords: aggregation; cost aggregation; stereo matching; dense stereo ... See more keywords
AdaStereo: An Efficient Domain-Adaptive Stereo Matching Approach
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Computer Vision"
DOI: 10.1007/s11263-021-01549-6
Abstract: Recently, records on stereo matching benchmarks are constantly broken by end-to-end disparity networks. However, the domain adaptation ability of these deep models is quite limited. Addressing such problem, we present a novel domain-adaptive approach called… read more here.
Keywords: domain adaptive; domain; stereo matching; adaptive stereo ... See more keywords
A fast temporal constraint semi-dense stereo matching method
Sign Up to like & getrecommendations! Published in 2019 at "Signal, Image and Video Processing"
DOI: 10.1007/s11760-019-01451-2
Abstract: For some applications that do not require a dense disparity map, we propose a fast semi-dense stereo matching method. First, we use grading rank transformation to obtaining the texture points of the image. Then, we… read more here.
Keywords: disparity; method; stereo matching; semi dense ... See more keywords
Stereo-rectification and homography-transform-based stereo matching methods for stereo digital image correlation
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DOI: 10.1016/j.measurement.2020.108635
Abstract: Abstract The measurement accuracy and efficiency of stereo digital image correlation (DIC) greatly depend on the stereo matching which is to find the corresponding points (CPs) between the left and right images captured from different… read more here.
Keywords: stereo digital; stereo; stereo matching; digital image ... See more keywords
The Euclidean embedding learning based on convolutional neural network for stereo matching
Sign Up to like & getrecommendations! Published in 2017 at "Neurocomputing"
DOI: 10.1016/j.neucom.2017.06.007
Abstract: Stereo matching is one of the most important and fundamental topics in computer vision. The calculation of matching cost plays a very important role for stereo matching algorithms. The stereo matching algorithm proposed by Zbontar… read more here.
Keywords: neural network; cost; stereo matching; convolutional neural ... See more keywords
Domain-adaptive modules for stereo matching network
Sign Up to like & getrecommendations! Published in 2021 at "Neurocomputing"
DOI: 10.1016/j.neucom.2021.06.004
Abstract: Abstract Convolutional neural networks (CNNs) have been widely used in end-to-end stereo matching networks in recent years. However, most stereo networks are not robust to variations in the environment and thus are difficult to be… read more here.
Keywords: stereo matching; domain adaptive; adaptive modules; modules stereo ... See more keywords
Stereo matching using cost volume fusion for high dynamic range scenes
Sign Up to like & getrecommendations! 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
Improvement of stereo matching algorithm based on sum of gradient magnitude differences and semi-global method with refinement step
Sign Up to like & getrecommendations! Published in 2018 at "Electronics Letters"
DOI: 10.1049/el.2017.3956
Abstract: A new stereo matching algorithm which uses improved matching cost computation and optimisation using the semi-global method (SGM) is proposed. The absolute difference is sensitive to low textured regions and high noise on the stereo… read more here.
Keywords: matching algorithm; stereo; method; stereo matching ... See more keywords
An efficient approach for stereo matching of planar objects in stereo-digital image correlation
Sign Up to like & getrecommendations! Published in 2017 at "Measurement Science and Technology"
DOI: 10.1088/1361-6501/aa7a6e
Abstract: In many standard mechanical tests and in all two-dimensional digital image correlation (2D-DIC) applications, the surfaces of specimens to be measured are planar. For the special case of planar surfaces, in this paper an efficient… read more here.
Keywords: stereo; approach stereo; stereo matching; digital image ... See more keywords
Quaternary Census Transform Based on the Human Visual System for Stereo Matching
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DOI: 10.1109/access.2020.3003919
Abstract: The census transform is a non-parametric local transform that is widely used in stereo matching. This transform encodes the structural information of a local patch into a binary code stream representing the relative intensity ordering… read more here.
Keywords: transform; stereo matching; census transform; quaternary census ... See more keywords