Results 161 to 170 of about 1,323,553 (218)
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Extending epipolar geometry for real-time structured light illumination.
Optics Letters, 2020Structured light illumination, scanning along both horizontal and vertical directions, achieves more robust accuracy. By introducing the constraint of epipolar geometry, we previously proposed real-time 3D reconstruction using lookup tables; however, we ...
Kai Liu +6 more
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Light-field-depth-estimation network based on epipolar geometry and image segmentation.
Journal of The Optical Society of America A-optics Image Science and Vision, 2020In this paper, we propose a convolutional neural network based on epipolar geometry and image segmentation for light-field depth estimation. Epipolar geometry is utilized to estimate the initial disparity map.
Xucheng Wang +6 more
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Ray-Space Epipolar Geometry for Light Field Cameras
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020Light field essentially represents rays in space. The epipolar geometry between two light fields is an important relationship that captures ray-ray correspondences and relative configuration of two views.
Qi Zhang +3 more
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IEEE/CAA Journal of Automatica Sinica, 2020
This paper introduces a new algorithm for estimating the relative pose of a moving camera using consecutive frames of a video sequence. State-of-the-art algorithms for calculating the relative pose between two images use matching features to estimate the
Jacob H. White, R. Beard
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This paper introduces a new algorithm for estimating the relative pose of a moving camera using consecutive frames of a video sequence. State-of-the-art algorithms for calculating the relative pose between two images use matching features to estimate the
Jacob H. White, R. Beard
semanticscholar +1 more source
Global-Context-Aware Visual Odometry System With Epipolar-Geometry-Constrained Loss Function
IEEE Transactions on Instrumentation and MeasurementVisual odometry (VO) plays a vital role in simultaneous localization and mapping (SLAM). Most of the current learning-based VO methods utilize convolutional neural network (CNN) as framework. However, CNN is weak in integrating global context information.
Zhong Ji +5 more
semanticscholar +1 more source
Epipolar Geometry in Polycentric Panoramas
2001This paper proposes a new and general model of panoramic images, namely polycentric panoramas, which formalizes the essential characteristics of panoramic image acquisition geometry. This new model is able to describe a wide range of panoramic images including those which have been previously introduced such as single-center, multi-perspective, or ...
Fay Huang +2 more
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Neural Surface Reconstruction from Sparse Views Using Epipolar Geometry
arXiv.orgReconstructing accurate surfaces from sparse multi-view images remains challenging due to severe geometric ambiguity and occlusions. Existing generalizable neural surface reconstruction methods primarily rely on cost volumes that summarize multi-view ...
Xin-Hai Chang, Kai-Chen Zhou
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On the epipolar geometry of the Crossed-Slits projection
Proceedings Ninth IEEE International Conference on Computer Vision, 2003The Crossed-Slits (X-Slits) camera is defined by two nonintersecting slits, which replace the pinhole in the common perspective camera. Each point in space is projected to the image plane by a ray which passes through the point and the two slits. The X-Slits projection model includes the pushbroom camera as a special case.
Doron Feldman +2 more
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Projective rectification without epipolar geometry
Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149), 2003We 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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Epipolar geometry for panoramic cameras
1998This paper presents fundamental theory and design of central panoramic cameras. Panoramic cameras combine a convex hyperbolic or parabolic mirror with a perspective camera to obtain a large field of view. We show how to design a panoramic camera with a tractable geometry and we propose a simple calibration method. We derive the image formation function
Tomás Svoboda +2 more
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