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EPIPOLAR GEOMETRY BETWEEN PHOTOGRAMMETRY AND COMPUTER VISION – A COMPUTATIONAL GUIDE [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022 Stereo image orientation is one of the major topics in computer vision, photogrammetry, and robotics. The stereo vision problem solution represents the basic element of the multi-view Structure from Motion SfM in computer vision and photogrammetry.A ...
B. Alsadik, N. A. Abdulateef
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Active stereo platform: online epipolar geometry update
EURASIP Journal on Image and Video Processing, 2018 This paper presents a novel method to update a variable epipolar geometry platform directly from the motor encoder based on mapping the motor encoder angle to the image space angle, avoiding the use of feature detection algorithms.
Abdulla Mohamed +3 more
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Epipolar geometry based on line similarity [PDF]
2016 23rd International Conference on Pattern Recognition (ICPR), 2016 It is known that epipolar geometry can be computed from three epipolar line correspondences but this computation is rarely used in practice since there are no simple methods to find corresponding lines.
Gil Ben-Artzi +3 more
semanticscholar +4 more sources
Evolutionary Optimization for Robust Epipolar-Geometry Estimation and Outlier Detection
Algorithms, 2017 In this paper, a robust technique based on a genetic algorithm is proposed for estimating two-view epipolar-geometry of uncalibrated perspective stereo images from putative correspondences containing a high percentage of outliers.
Mozhdeh Shahbazi +2 more
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Joint Epipolar Tracking (JET): Simultaneous Optimization of Epipolar Geometry and Feature Correspondences [PDF]
2017 IEEE Winter Conference on Applications of Computer Vision (WACV), 2017 Traditionally, pose estimation is considered as a two step problem. First, feature correspondences are determined by direct comparison of image patches, or by associating feature descriptors.
H. Bradler +3 more
semanticscholar +6 more sources
Reconstructing angular light field by learning spatial features from quadrilateral epipolar geometry
Scientific ReportsRecent research on dense multi-view image reconstruction has attracted considerable attention, due to its enhancement of applications such as 3D reconstruction, de-occlusion, depth sensing, saliency detection, and prominent object identification.
Ebrahem Elkady +3 more
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Epipolar Geometry Improves Video Generation Models
CoRRVideo generation models have advanced significantly through the latent diffusion transformers trained with rectified flow techniques. Yet these models still struggle with geometric inconsistencies, unstable motion, and visual artifacts that break the ...
O. Kupyn +5 more
semanticscholar +3 more sources
Multi-view object pose estimation from correspondence distributions and epipolar geometry [PDF]
IEEE International Conference on Robotics and Automation, 2022 In many automation tasks involving manipulation of rigid objects, the poses of the objects must be acquired. Vision-based pose estimation using a single RGB or RGB-D sensor is especially popular due to its broad applicability.
R. Haugaard +1 more
semanticscholar +1 more source
H-Net: Unsupervised Attention-based Stereo Depth Estimation Leveraging Epipolar Geometry [PDF]
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2021 Depth estimation from a stereo image pair has become one of the most explored applications in computer vision, with most previous methods relying on fully supervised learning settings.
Bao-Ru Huang +3 more
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