Results 31 to 40 of about 5,152 (205)
Iterative Deep Homography Estimation
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022 We propose Iterative Homography Network, namely IHN, a new deep homography estimation architecture. Different from previous works that achieve iterative refinement by network cascading or untrainable IC-LK iterator, the iterator of IHN has tied weights and is completely trainable.
Si-Yuan Cao +3 more
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Norms as a tool for the study of homography [PDF]
Memory & Cognition, 1982 Four continuous word associations to each of 107 homographs were obtained from 50 male and 50 female undergraduates. Included in the word sample were 12 nonhomophonic homographs (heterophones). The data were analyzed to derive two indexes. A dominance score was defined on the basis of the frequency that a particular meaning was associated to each ...
D S, Gorfein, J M, Viviani, J, Leddo
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Algorithms for the visual analysis of an environment by an autonomous mobile robot for area cleanup
Российский технологический журнал, 2023 Objectives. At present, increasing rates of pollution of vast areas by various types of household waste are becoming an increasingly serious problem. In this connection, the creation of a robotic complex capable of performing autonomous litter collection
M. E. Beliakov, S. A. K. Diane
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An end-to-end homography estimation method for large baseline scenes with an attention mechanism [PDF]
Journal of Hebei University of Science and TechnologyAiming at the problems of low accuracy and limited adaptability to large baseline scenes and motion blur scenarios in current homography estimation methods, an end-to-end homography estimation methodwith attention mechanism for large baseline scenes was ...
Zuojiang LIN +6 more
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Buildings, 2021 Conventionally, the number of steel rebars at construction sites is manually counted by workers. However, this practice gives rise to several problems: it is slow, human-resource-intensive, time-consuming, error-prone, and not very accurate. Consequently,
Yoonsoo Shin +4 more
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A Multiobjective Approach to Homography Estimation
Computational Intelligence and Neuroscience, 2016 In several machine vision problems, a relevant issue is the estimation of homographies between two different perspectives that hold an extensive set of abnormal data. A method to find such estimation is the random sampling consensus (RANSAC); in this, the goal is to maximize the number of matching points given a permissible error (Pe), according to a ...
Valentín Osuna-Enciso +5 more
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Applied SciencesHomography estimation is a crucial task in aligning template images with target images in stamping monitoring systems. To enhance the robustness and accuracy of homography estimation against random vibrations and lighting variations in stamping ...
Yujie Zhang, Yinuo Du
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Infrared and Visible Image Fusion with Deep Neural Network in Enhanced Flight Vision System
Remote Sensing, 2022 The Enhanced Flight Vision System (EFVS) plays a significant role in the Next-Generation low visibility aircraft landing technology, where the involvement of optical sensing systems increases the visual dimension for pilots.
Xuyang Gao +4 more
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Türkçede Eş Biçimlilik Meselesi
Dil ve Edebiyat Araştırmaları Dergisi, 2021 Dilde yer alan birbirinden farklı iki veya daha fazla göstergenin unsurları olan gösterenler ve gösterilenler kimi zaman birbirlerine özdeş olabilirler.
Ekrem Sakar
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Homography-Based Change Detection for Space-Based Satellite Inspection
, 2011 In order to maintain space situational awareness, it is necessary to maintain surveillance of objects in Earth orbit. A system of space-based imaging sensors could make much more detailed inspections of the existing resident space objects (RSOs). However,
Ryan L. Buffington +5 more
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