Results 21 to 30 of about 1,551,938 (158)
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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Homography Estimation in Complex Topological Scenes
CoRR, 2023 Will be published in Intelligent Vehicle Symposium ...
Giacomo D'Amicantonio +2 more
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STN-Homography: estimate homography parameters directly
CoRR, 2019 In this paper, we introduce the STN-Homography model to directly estimate the homography matrix between image pair. Different most CNN-based homography estimation methods which use an alternative 4-point homography parameterization, we use prove that, after coordinate normalization, the variance of elements of coordinate normalized $3\times3 ...
Qiang Zhou, Xin Li 0085
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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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Combining Convolutional Neural Network and Photometric Refinement for Accurate Homography Estimation
IEEE Access, 2019 Homography estimation refers to the problem of computing a 3 × 3 matrix which transfers image points between two images of a planar scene or two images captured from the same location. While existing algorithms exploiting hand-crafted sparse image
Lai Kang +4 more
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Analyzing the Domain Shift Immunity of Deep Homography Estimation [PDF]
, 2023 Homography estimation serves as a fundamental technique for image alignment in a wide array of applications. The advent of convolutional neural networks has introduced learning-based methodologies that have exhibited remarkable efficacy in this realm ...
Tasdizen, Tolga +2 more
core +1 more source
AbHE: All Attention-based Homography Estimation
CoRR, 2022 Homography estimation is a basic computer vision task, which aims to obtain the transformation from multi-view images for image alignment. Unsupervised learning homography estimation trains a convolution neural network for feature extraction and transformation matrix regression. While the state-of-theart homography method is based on convolution neural
Huo, Mingxiao +3 more
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Deep Image Homography Estimation
CoRR, 2016 We present a deep convolutional neural network for estimating the relative homography between a pair of images. Our feed-forward network has 10 layers, takes two stacked grayscale images as input, and produces an 8 degree of freedom homography which can be used to map the pixels from the first image to the second.
Daniel DeTone +2 more
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IEEE Access, 2023 Vehicle speed estimation is one of the most critical issues in intelligent transportation system (ITS) research, while defining distance and identifying direction have become an inseparable part of vehicle speed estimation.
Ervin Yohannes +5 more
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Deep Homography Estimation and Its Application to Wall Maps of Wall-Climbing Robots
Applied Sciences, 2019 When locating wall-climbing robots with vision-based methods, locating and controlling the wall-climbing robot in the pixel coordinate of the wall map is an effective alternative that eliminates the need to calibrate the internal and external parameters ...
Qiang Zhou, Xin Li
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