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2020 25th International Conference on Pattern Recognition (ICPR), 2021
Homography estimation from a pair of natural images is a problem of paramount importance for computer vision. Specialized deep convolutional neural networks have been proposed to accomplish this task. In this work, a method to enhance the result of this kind of homography estimators is proposed.
Miguel A. Molina-Cabello +4 more
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Homography estimation from a pair of natural images is a problem of paramount importance for computer vision. Specialized deep convolutional neural networks have been proposed to accomplish this task. In this work, a method to enhance the result of this kind of homography estimators is proposed.
Miguel A. Molina-Cabello +4 more
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Virtual multi-pose faces produced method with single sample on homography transformation
2016 IEEE International Conference on Information and Automation (ICIA), 2016In recent decades, face recognition has been a hot topic in image processing, pattern recognition and other areas. To solve the issue of the lack of feature information brought by single training face sample, this paper proposed a method on homography transformation, which is about producing virtual multi-pose face by a front view image of face. First,
Hong Zhu
exaly +3 more sources
Robust Homography-Based Trajectory Transformation for Multi-Camera Scene Analysis
2007 First ACM/IEEE International Conference on Distributed Smart Cameras, 2007In this paper we present a robust image registration algorithm for the estimation of extended object trajectories in a distributed camera setting. The registration algorithm is based on a statistical homography estimation that accounts for errors related to the estimation of the homography matrix.
Gabin Kayumbi, Andrea Cavallaro
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Planar surface area transformation using modified homography matrix
Transactions of the Institute of Measurement and Control, 2013This research targets a problem of planar area size inconsistency after image warping to the top view. An orientation sensor attached to a camera was used to acquire the camera’s orientation in real time. Then, extrinsic parameters derived from the sensor and pre-computed intrinsic parameters were used to generate a homography matrix.
Miti Ruchanurucks +2 more
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Homography estimation by two PClines Hough transforms and a square-radial checkerboard pattern
Applied Optics, 2018The homography matrix is crucial for many optical metrology applications, such as three-dimensional surface imaging by structured-light projection. In this paper, a straightforward homography estimation method using the image of three particular points on the reference plane is proposed.
Rigoberto Juarez-Salazar +1 more
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Recurrent Homography Estimation Using Homography-Guided Image Warping and Focus Transformer
2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023Si-Yuan Cao +6 more
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Unsupervised Deep Homography Estimation based on Transformer
2023 International Conference on Advanced Robotics and Mechatronics (ICARM), 2023Tianjian Jiang +8 more
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Geometrized Transformer for Self-Supervised Homography Estimation
2023 IEEE/CVF International Conference on Computer Vision (ICCV), 2023Jiazhen Liu, Xirong Li 0001
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Deep Homography Estimation With Feature Correlation Transformer
2023 IEEE International Conference on Multimedia and Expo (ICME), 2023Haoyu Zhou +4 more
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Stacked Homography Transformations for Multi-View Pedestrian Detection
2021 IEEE/CVF International Conference on Computer Vision (ICCV), 2021Liangchen Song +5 more
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