Results 31 to 40 of about 861,374 (204)
CALIBRATION AND EPIPOLAR GEOMETRY OF GENERIC HETEROGENOUS CAMERA SYSTEMS [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2012 The application of perspective camera systems in photogrammetry and computer vision is state of the art. In recent years nonperspective and especially omnidirectional camera systems were increasingly used in close-range photogrammetry tasks. In general
A. Luber +3 more
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Epipolar Geometry for the Rectification of Cubic Panoramas [PDF]
The 3rd Canadian Conference on Computer and Robot Vision (CRV'06), 2006 Image panoramas are of importance for virtual navigation in remote or synthetic environments. To process these panoramas, different representations have been proposed; this paper presents a study of cubic panoramas. Standard projective geometry concepts are adapted to cubic panoramas to derive the notions of fundamental matrix, essential matrix and the
Florian Kangni, Robert Laganière
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RELATIVE ORIENTATION AND MODIFIED PIECEWISE EPIPOLAR RESAMPLING FOR HIGH RESOLUTION SATELLITE IMAGES [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2017 High resolution, optical satellite sensors are boosted to a new era in the last few years, because satellite stereo images at half meter or even 30cm resolution are available.
K. Gong, D. Fritsch
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Epipolar geometry estimation for wide-baseline omnidirectional street view images [PDF]
, 2011 This paper presents a new robust method of epipolar-geometry estimation for omnidirectional images in wide-baseline setting, e.g. with Google street View images.
10252834 +7 more
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PARTICLE SWARM OPTIMIZATION BASED APPROACH TO ESTIMATE EPIPOLAR GEOMETRY FOR REMOTELY SENSED STEREO IMAGES [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2018 A novel particle swarm optimization based approach for the estimation of epipolar geometry for remotely sensed images is proposed and implemented in this work.
M. Mahato, S. Gedam
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Rectification for any epipolar geometry [PDF]
Procedings of the British Machine Vision Conference 2001, 2001 This paper proposes a new approach to rectification, a process whereby a stereo pair of images is re-sampled so as to make imposing the two view geometric constraint simple. This is normally performed by applying a single linear transformation per image, a method which has the drawback that some camera motions produce rectified images which are heavily
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Epipolar Resampling of Cross-Track Pushbroom Satellite Imagery Using the Rigorous Sensor Model
Sensors, 2017 Epipolar resampling aims to eliminate the vertical parallax of stereo images. Due to the dynamic nature of the exterior orientation parameters of linear pushbroom satellite imagery and the complexity of reconstructing the epipolar geometry using rigorous
Mojtaba Jannati +2 more
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An Epipolar HS-NCC Flow Algorithm for DSM Generation Using GaoFen-3 Stereo SAR Images
Remote Sensing, 2022 Radargrammetry is a widely used methodology to generate the large-scale Digital Surface Model (DSM). Stereo matching is the most challenging step in radargrammetry due to the significant geometric differences and the inherent speckle noise.
Jian Wang +3 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. In a second step, the relative pose and the coordinates of corresponding points are estimated, most often by minimizing the reprojection error (RPE).
Henry Bradler +3 more
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Optical Flow-Based Epipolar Estimation of Spherical Image Pairs for 3D Reconstruction
SICE Journal of Control, Measurement, and System Integration, 2017 Stereo vision is a well-known technique for vision-based 3D reconstruction of environments. Recently developed spherical cameras can be used to extend the concept to all 360° and provide LIDAR-like 360 degree 3D data with color information.
Sarthak Pathak +3 more
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