Results 11 to 20 of about 7,815,504 (353)
COMPARISON OF POINT MATCHING TECHNIQUES FOR ROAD NETWORK MATCHING [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2013 Map conflation investigates the unique identification of geographical entities across different maps depicting the same geographic region. It involves a matching process which aims to find commonalities between geographic features.
A. Hackeloeer +3 more
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Pyramid Stereo Matching Network [PDF]
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018 Recent work has shown that depth estimation from a stereo pair of images can be formulated as a supervised learning task to be resolved with convolutional neural networks (CNNs).
Jia-Ren Chang, Yong-Sheng Chen
semanticscholar +4 more sources
Biochemical network matching and composition [PDF]
Proceedings of the 2010 EDBT/ICDT Workshops, 2010 This paper looks at biochemical network matching and ...
Goodfellow, Martin +2 more
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Matching and Network Effects [PDF]
Journal of the European Economic Association, 2006 Individuals form teams to produce an output. The quality and quantity of a team's output depends on the ability and the effort level of its members. The ability of individuals as well as their work ethic is however imperfectly known. In such an environment, individuals wishing to form a new team can get information about each other from the network of ...
Marcel Fafchamps +2 more
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Convolutional Hough Matching Networks [PDF]
2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021 Despite advances in feature representation, leveraging geometric relations is crucial for establishing reliable visual correspondences under large variations of images. In this work we introduce a Hough transform perspective on convolutional matching and propose an effective geometric matching algorithm, dubbed Convolutional Hough Matching (CHM).
Juhong Min, Minsu Cho
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Stereo Object Matching Network [PDF]
2021 IEEE International Conference on Robotics and Automation (ICRA), 2021 This paper presents a stereo object matching method that exploits both 2D contextual information from images as well as 3D object-level information. Unlike existing stereo matching methods that exclusively focus on the pixel-level correspondence between stereo images within a volumetric space (i.e., cost volume), we exploit this volumetric structure in
Jaesung Choe +3 more
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JOIV: International Journal on Informatics Visualization, 2023 Huge datasets are important to build powerful pipelines and ground well to new images. In Computer Vision, the most basic problem is image classification. The classification of images may be a tedious job, especially when there are a lot of amounts.
Irma Permata Sari
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IEEE Open Journal of Circuits and Systems, 2022 This paper reviews and analyses the design of popular radio frequency energy harvesting systems and proposes a method to qualitatively and quantitatively analyze their circuit architectures using new square-wave approximation method.
Ziyue Xu +7 more
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Soft Tissue Feature Tracking Based on Deep Matching Network
Computer Modeling in Engineering & Sciences, 2023 Research in the field of medical image is an important part of the medical robot to operate human organs. A medical robot is the intersection of multi-disciplinary research fields, in which medical image is an important direction and has achieved ...
Siyu Lu +6 more
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Hierarchical Memory Matching Network for Video Object Segmentation [PDF]
IEEE International Conference on Computer Vision, 2021 We present Hierarchical Memory Matching Network (HMMN) for semi-supervised video object segmentation. Based on a recent memory-based method [33], we propose two advanced memory read modules that enable us to perform memory reading in multiple scales ...
Hongje Seong +5 more
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