Title
Generation Of Multi-Level Disparity Map From Stereo Wide Angle Fovea Vision System
Abstract
This paper proposes a novel concept of a multi-level disparity map (distance image) characterized by input images from the Wide Angle Fovea (WAF) lens. The authors focuses on a unique property of the WAF lens, i.e., the lens magnification is the highest locally in the central field of view (FOV) and decreases rapidly towards the peripheral FOV. Thus, the input image by the WAF lens achieves more accurate and wider-angle observation simultaneously without increasing the number of image pixels. Our proposed algorithm generates the multi-level disparity map based on the parallel stereo vision method. By using the disparity map, generated from the central region having the high-spatial resolution, we can measure the distance of a target object being quite far away ahead from the WAF stereo vision system very accurately. On the same time, by using the disparity map generated from the peripheral region, we can obtain 3D information of a wider space comparatively close to the vision system by adequate accuracy to some degree. We have implemented the proposed algorithm to the WAF stereo vision system and have experimented in order to verify its performance. The authors think our proposed multi-level disparity map is quite applicable for improving safety of the automatic driving assistance system.
Year
DOI
Venue
2018
10.1109/IECON.2018.8591128
IECON 2018 - 44TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY
Keywords
Field
DocType
multi-level disparity map, high accuracy distance image, wide-angle distance image, Wide Angle Fovea Sensor, parallel stereo vision system, automatic driving assistance system
Field of view,Computer vision,Machine vision,Stereopsis,Control engineering,Artificial intelligence,Pixel,Engineering,Magnification,Calibration
Conference
ISSN
Citations 
PageRank 
1553-572X
0
0.34
References 
Authors
0
9