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Active stereo platform: online epipolar geometry update

Abdulla Mohamed, Phil Culverhouse, Angelo Cangelosi, Chenguang Yang

EURASIP Journal on Image and Video Processing, Volume: 2018, Issue: 1

Swansea University Author: Chenguang Yang

Abstract

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. First, an offline calibration is performed to establish a relationsh...

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Published in: EURASIP Journal on Image and Video Processing
ISSN: 1687-5281
Published: 2018
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa43358
Abstract: 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. First, an offline calibration is performed to establish a relationship between the image space and the hardware space. Second, a transformation matrix is generated using the results from this mapping. The transformation matrix uses the updated epipolar geometry of the platform to rectify the images for further processing. The system has an overall error in the projection of ± 5 pixels, which drops to ± 1.24 pixels when the verge angle increases beyond 10°. The platform used in this project has 3° of freedom to control the verge angle and the size of the baseline.
Keywords: Active stereo vision, Epipolar geometry, Calibration, Binocular vision, Real-time update
College: Faculty of Science and Engineering
Issue: 1