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Softferns for homography estimation
2011 18th IEEE International Conference on Image Processing, 2011Ferns was recently proposed to address the problem of fast keypoint matching [1]. In estimating homography, it often yields many similar matching scores under large viewpoint change or when the object is highly repetitive. However, we observe that keypoints having similar scores are usually far away from each other.
Shaoguo Liu +4 more
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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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Simultaneously Estimating the Fundamental Matrix and Homographies
IEEE Transactions on Robotics, 2009The estimation of the fundamental matrix (FM) and/or one or more homographies between two views is of great interest for a number of computer vision and robotics tasks. We consider the joint estimation of the FM and one or more homographies. Given point matches between two views (and assuming rigid geometry of the camera-scene displacement), it is well
Pei Chen 0001, David Suter
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Multi-Scale Correlation for Deep Homography Estimation
Journal of Circuits, Systems and Computers, 2022In this paper, we propose a novel multi-scale correlation network (MSCNet) for homography estimation from coarse to fine. First, we extract multi-scale features through a siamese network to generate global and local correlations from feature maps of different scales.
Nan Ke +4 more
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Efficient homography estimation method for panorama
The 19th Korea-Japan Joint Workshop on Frontiers of Computer Vision, 2013In this paper, we propose a fast and efficient method for estimating a homography. The homography is used to generate a stitched image such as UHD (Ultra-High-Definition) image from multiple HD (High-Definition) images. The homography estimation is the most important part in stitching techniques because the accuracy of the estimated homography means ...
Sanzwon Seo +2 more
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A theory of point-wise homography estimation
Pattern Recognition Letters, 2017Estimating homography using only one affine correspondence.The proposed theory makes multi-homography estimation less ambiguous.Stochastic sampling can be omitted from robust homography estimation.Affine-covariant detectors are compared w.r.t. quality of estimated homographies.Equivalence of affine and perspective-invariances for known epipolar ...
Daniel Barath, Levente Hajder
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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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Image stitching via deep homography estimation
Neurocomputing, 2021Abstract Image stitching is a well-studied problem and has many applications in a variety of fields. Traditional feature based methods rely heavily on accurate localization or even distribution of hand-crafted features, and may fail for some difficult cases.
Qiang Zhao 0005 +5 more
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Local Homography Estimation Using Keypoint Descriptors
2012This paper presents a new learning-based approach to estimate local homography of a given 3D object and shows that it ismore accurate than specific affine region detection methods. Unlike the previous works that attempt this by adapting iterative algorithms, our method introduces a direct estimation. It performs in three step.
DEL BIMBO, ALBERTO +2 more
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Estimating fisheye camera parameters from homography
Science China Information Sciences, 2011zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Haijiang Zhu, Ping Yang, Shigang Li 0001
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