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