Orthographic-Perspective Epipolar Geometry
In this paper we consider the epipolar geometry between orthographic and perspective cameras. We generalize many of the classical results for the perspective essential matrix to this setting and derive novel minimal solvers, not only for the calibrated ...
Viktor Larsson +2 more
core +4 more sources
Reconstructing angular light field by learning spatial features from quadrilateral epipolar geometry [PDF]
Recent 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
doaj +2 more sources
Epipolar Geometry from Two Correspondences [PDF]
A novel algorithm for robust RANSAC-like estimation of epipolar geometry (of uncalibrated camera pair) from two correspondences of local affine frames (LAFs) is presented. Each LAF is constructed from three points independently detected on a maximally stable extremal region.
Michal Perdoch, Jiri Matas, Ondrej Chum
openaire +3 more sources
DMSG-SLAM: Cascaded Semantic and Geometric Filtering for RGB-D Tracking and Mapping in Dynamic Environments [PDF]
Traditional visual SLAM systems often suffer from localization drift in dynamic environments due to interference from moving objects. Although semantic segmentation and depth-based masking methods have improved performance, they may still suffer from ...
Beicheng Li +5 more
doaj +2 more sources
Evaluation of texture registration by epipolar geometry [PDF]
In the process of digitizing the geometry and appearance of 3D objects, texture registration is a necessary step that solves the 2D–3D mapping between the 2D texture images and the 3D geometric model. For evaluation of texture registration with ground truth, accurate datasets can be obtained with a complex setup consisting of calibrated geometry and ...
Cleju, Ioan, Saupe, Dietmar
openaire +4 more sources
Estimation Of Epipolar Geometry Via The Radon Transform [PDF]
One of the key problems in computer vision is the recovery of epipolar geometry constraints between different camera views. The majority of existing techniques rely on point correspondences, which are typically perturbed by mismatches and noise, hence limiting the accuracy of these techniques.
S. Lehmann +3 more
openaire +5 more sources
Feasibility of markerless real-time tumor tracking volumetric modulated arc therapy using diaphragm-based respiratory offset vectors. [PDF]
Abstract Background Real‐time tumor tracking (RTTT) is an effective strategy for managing respiratory motion during radiation therapy; however, it typically requires invasive fiducial markers. As a non‐invasive alternative, markerless RTTT (ML‐RTTT) has gained increasing interest, especially with the growing use of volumetric modulated arc therapy ...
Shimizu Y +3 more
europepmc +2 more sources
Motion retrieval using consistency of epipolar geometry
In this paper, we present an efficient method for motion retrieval method based on the consistency of the homographies with the epipolar geometry. We treat the body pose as body point triplets and use the fact that each homography obtained from corresponding body point triplets should be consistent with epipolar geometry to estimate the similarity of ...
Nazim Ashraf, Hassan Foroosh
openaire +3 more sources
On the epipolar geometry and stereo vision
We begin this paper with an introductory part of the projective, affine and euclidean geometry and the different models of projection and cameras. After this, we focus on the theory of the epipolar geometry that relates correspondences in different images, namely in two, three and four images (where we also include some new results).
García Diego, Blanca
core +3 more sources
QUANTITATIVE ASSESSMENT OF THE PROJECTION TRAJECTORY-BASED EPIPOLARITY MODEL AND EPIPOLAR IMAGE RESAMPLING FOR LINEAR-ARRAY SATELLITE IMAGES [PDF]
Epipolar geometry rectification is one of the critical issues in photogrammetry, which is a strong corresponding searching constraint in dense image matching for 3D reconstruction.
D. Gong, Y. Han, L. Zhang
doaj +1 more source

