Results 171 to 180 of about 5,152 (205)
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Estimating homographies without normalization
2009 16th IEEE International Conference on Image Processing (ICIP), 2009Existing linear methods for estimating homographies, rely on coordinate normalization, to reduce the error in the estimated homography. Unfortunately, the estimated homography depends on the choice of the normalization. The proposed extension to the (linear) Taubin estimator is the perfect substitute for such methods, as it does not rely on coordinate ...
Prasanna Rangarajan, Panos Papamichalis
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BB-Homography: Joint Binary Features and Bipartite Graph Matching for Homography Estimation
IEEE Transactions on Circuits and Systems for Video Technology, 2015Homography estimation is a fundamental problem in the field of computer vision. For estimating the homography between two images, one of the key issues is to match keypoints in the reference image to the keypoints in the moving image. To match keypoints in real time, a binary image descriptor, due to its low matching and storage costs, emerges as a ...
Shaoguo Liu +3 more
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Probabilistic matching of lines for their homography
2009 16th IEEE International Conference on Image Processing (ICIP), 2009A probabilistic matching of lines, which form a homography in two images, is formulated in the framework of the forward stepwise regression. A membership matrix represents the likelihood of line correspondences to the homography. The correspondence measure is borrowed from the forward stepwise regression so that the squared error of the homography and ...
Taemin Kim, Jihwan Woo, In-So Kweon
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Homography flow for dense correspondences
2016 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA), 2016We present a unified framework for dense correspondence estimation, called Homography flow, to handle large photometric and geometric deformations in an efficient manner. Our algorithm is inspired by recent successes of the sparse to dense framework. The main intuition is that dense flows located in same plane can be represented as a single geometric ...
Kihong Park +2 more
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Uncalibrated View Synthesis with Homography Interpolation
2012 Second International Conference on 3D Imaging, Modeling, Processing, Visualization & Transmission, 2012This paper presents a novel approach to uncalibrated view synthesis that overcomes the sensitivity to the epipole of existing methods. The approach follows a interpolate-then-derectify scheme, as opposed to the previous derectify-then-interpolate strategy.
Pasqualina Fragneto +4 more
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The use of homographies for view synthesis
Proceedings 15th International Conference on Pattern Recognition. ICPR-2000, 2002The problem of synthesizing novel views consists of generating new views of a scene using at least two reference views. Although novel views might be rendered after the explicit 3D reconstruction of the scene, image based view synthesis is currently the most attractive approach.
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Particular Forms of Homography Matrices
Procedings of the British Machine Vision Conference 2000, 2000This paper deals with monocular video sequences without calibration to recover a maximum of information on displacement and projection parameters. In this paper, we propose a new way to deal with the huge number of particular cases of homographic relations and validate this approach with some experiments showing that if several models are correct, the ...
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Procedings of the British Machine Vision Conference 2005, 2005
Matthew Harker, Paul O'Leary
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Matthew Harker, Paul O'Leary
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Leonardo, 1990
Homography is a course in the visualization of time, created for the Generative Systems program at the School of the Art Institute of Chicago in 1978. Nine ways of visualizing time, based on objective and subjective findings, were created for the course. Four objective ways are presented in exercise form in this article.
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Homography is a course in the visualization of time, created for the Generative Systems program at the School of the Art Institute of Chicago in 1978. Nine ways of visualizing time, based on objective and subjective findings, were created for the course. Four objective ways are presented in exercise form in this article.
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Unsupervised Global and Local Homography Estimation With Motion Basis Learning
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023Yuhang Lu, Bing Zeng, Nianjin Ye
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