Cited 0 time in webofscience Cited 2 time in scopus

Stixels estimation through stereo matching of road scenes

Title
Stixels estimation through stereo matching of road scenes
Authors
Won, Kwang HeeSon, JoonwooJung, Soon Ki
DGIST Authors
Won, Kwang Hee; Son, Joonwoo
Issue Date
2014
Citation
2014 Conference on Research in Adaptive and Convergent Systems, RACS 2014, 116-120
Type
Conference
Article Type
Conference Paper
ISBN
9780000000000
Abstract
Recently, Stixel-world, a medium level representation of road scene components has been introduced. The existing stix-els estimation approaches are separated from a depth estimation process, or they directly make use of stereo images and only compute stixels without producing per-pixel depth information. For road scenes, however, many machine vision tasks require both per-pixel depth information and the higher-level representation of it. This paper presents a combined process of stixels estimation and stereo matching process. The proposed method generates per-pixel depth information and stixels for both the ground surface and obstacles, at the same time. We have modified a multi-path line-optimization process of the stereo matching algorithm to produce multiple stixels of the ground and obstacle segments for each image column. Experimental results show that the proposed algorithm estimates stixels more accurately than the existing algorithm, and it also produces high-quality dense depth information, at the same time. © 2014 ACM.
URI
http://hdl.handle.net/20.500.11750/3748
DOI
10.1145/2663761.2664218
Publisher
Association for Computing Machinery, Inc
Related Researcher
Files:
There are no files associated with this item.
Collection:
Companion Diagnostics and Medical Technology Research Group2. Conference Papers
ETC2. Conference Papers


qrcode mendeley

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

BROWSE