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TRI-POSE-Net: Adaptive 3D human pose estimation through selective kernel networks and self-supervision with trifocal tensors. [PDF]

PLoS One
Ahmed Khan N, Ahmed Alarfaj A, Alabdulqader EA, Zamzami N, Umer M, Innab N, Kim TH.   +6 more
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Video stabilization using epipolar geometry

ACM Transactions on Graphics, 2012
We present a new video stabilization technique that uses projective scene reconstruction to treat jittered video sequences. Unlike methods that recover the full three-dimensional geometry of the scene, this model accounts for simple geometric relations between points and epipolar lines.
Amit Goldstein, Raanan Fattal
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Contour matching using epipolar geometry

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2000
Matching features computed in images is an important process in multiview image analysis. When the motion between two images is large, the matching problem becomes very difficult. In this paper, we propose a contour matching algorithm based on geometric constraints.
Han, JH, Park, JS
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Cheirality in epipolar geometry

Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001, 2002
The image points in two images satisfy epipolar constraint. However, not all sets of points satisfying epipolar constraint correspond to any real geometry because there can exist no cameras and scene points projecting to given image points such that all image points have positive depth.
T. Werner, T. Pajdla
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Asynchronous Event-Based Hebbian Epipolar Geometry

IEEE Transactions on Neural Networks, 2011
Epipolar geometry, the cornerstone of perspective stereo vision, has been studied extensively since the advent of computer vision. Establishing such a geometric constraint is of primary importance, as it allows the recovery of the 3-D structure of scenes.
Ryad, Benosman, Sio-Hoï, Ieng, Paul, Rogister, Christoph, Posch   +3 more
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Epipolar Geometry for Central Catadioptric Cameras

International Journal of Computer Vision, 2002
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Svoboda, Tomáš, Pajdla, Tomáš
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Projective rectification without epipolar geometry

Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149), 2003
We present a novel algorithm performing projective rectification which does not require explicit computation of the epipolar geometry and specifically of the fundamental matrix. Instead of finding the epipoles and computing two homographies mapping the epipoles to infinity, as done in recent work on projective rectification, we exploit the fact that ...
ISGRO', FRANCESCO, E. TRUCCO
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Contour matching by epipolar geometry

SPIE Proceedings, 2003
Matching features computed in images is an important process in multiview image analysis. When the motion between two images is large, the matching problem becomes very difficult. In this paper, we propose a contour matching algorithm based on geometric constraints.
Mao-Lin Hu, Damin Zhang, Sui Wei
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3D Motion recovery via affine Epipolar geometry

International Journal of Computer Vision, 1995
Algorithms to perform point-based motion estimation under orthographic and scaled orthographic projection abound in the literature. A key limitation of many existing algorithms is that they operate on the minimum amount of data required, often requiring the selection of a suitable minimal set from the available data to serve as a “local coordinate ...
Shapiro, LS, Zisserman, A, Brady, M
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Epipolar geometry of opti-acoustic stereo imaging

Europe Oceans 2005, 2005
Optical and acoustic cameras are suitable imaging systems to inspect underwater structures, both in regular maintenance and security operations. Despite high resolution, optical systems have limited visibility range when deployed in turbid waters. In contrast, the new generation of high-frequency (MHz) acoustic cameras can provide images with enhanced ...
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