DocumentCode :
514598
Title :
A Single Texture Object 3-D Depth Recovery
Author :
Zhang, Lijing ; Li, Xufeng
Author_Institution :
Inf. & Network Manage. Center, North China Electr. Power Univ., Baoding, China
Volume :
2
fYear :
2010
fDate :
6-7 March 2010
Firstpage :
684
Lastpage :
687
Abstract :
In this paper, we propose a method that combines the monocular vision with the binocular vision to process a single texture image that the feature points difficult to extract and restore the depth information of the inclined plane objects. Through integration of the two approaches, we combine the advantages of monocular vision in terms of the recovery of the basic structure of objects in the image with the advantages of binocular vision in terms of the accurate depth estimation after correctly determining the corresponding feature points, obtain high precision and accuracy depth estimates. Experiments show that application of this integration can obtain high-accuracy depth map. Moreover, a high quality 3-D reconstruction is also obtained from the accuracy depth map.
Keywords :
feature extraction; image reconstruction; image texture; 3D depth recovery; 3D reconstruction; accurate depth estimation; binocular vision; feature extraction; inclined plane objects; monocular vision; single texture object image; Application software; Calibration; Cameras; Computer science; Computer vision; Feature extraction; Humans; Layout; Stereo vision; Three dimensional displays; binocular vision; computer vision; depth estimates; monocular vision;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Education Technology and Computer Science (ETCS), 2010 Second International Workshop on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-6388-6
Electronic_ISBN :
978-1-4244-6389-3
Type :
conf
DOI :
10.1109/ETCS.2010.467
Filename :
5458578
Link To Document :
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