An Epipolar Line from a Single Pixel

03/28/2017
by   Tavi Halperin, et al.
0

We exploit the following observation to directly find epipolar lines. For a pixel p in Image A all pixels corresponding to p in Image B are on the same epipolar line, or equivalently the image of the line spanning A's center and p is an epipolar line in B. Computing the epipolar geometry from feature points between cameras with very different viewpoints is often error prone as an object's appearance can vary greatly between images. This paper extends earlier work based on the dynamics of the scene which was successful in these cases. The algorithms introduced here for finding corresponding epipolar lines accelerate and robustify previous methods for computing the epipolar geometry in dynamic scenes.

READ FULL TEXT

page 6

page 7

page 8

page 9

research
07/26/2016

Fundamental Matrices from Moving Objects Using Line Motion Barcodes

Computing the epipolar geometry between cameras with very different view...
research
06/25/2015

Camera Calibration from Dynamic Silhouettes Using Motion Barcodes

Computing the epipolar geometry between cameras with very different view...
research
04/17/2016

Epipolar Geometry Based On Line Similarity

It is known that epipolar geometry can be computed from three epipolar l...
research
08/21/2016

Congruences and Concurrent Lines in Multi-View Geometry

We present a new framework for multi-view geometry in computer vision. A...
research
10/02/2018

Line Drawings from 3D Models

This tutorial describes the geometry and algorithms for generating line ...
research
01/15/2015

Feature Lines for Illustrating Medical Surface Models: Mathematical Background and Survey

This paper provides a tutorial and survey for a specific kind of illustr...
research
11/10/2016

Detecting Moving Regions in CrowdCam Images

We address the novel problem of detecting dynamic regions in CrowdCam im...

Please sign up or login with your details

Forgot password? Click here to reset