DocumentCode :
2398722
Title :
A novel approach for depth extraction from single 2D image
Author :
Feng, Ranran ; Ji, Jiahuang
Author_Institution :
Dept. of Comput. Sci., Univ. of Texas at Dallas, Richardson, TX, USA
fYear :
2012
fDate :
19-20 May 2012
Firstpage :
21
Lastpage :
25
Abstract :
Many methods on extracting 3D information from 2D images have been studied since 1990s, especially the depth information extraction. A novel approach for depth extraction is proposed and implemented in this paper. About 30 images are taken especially for this case study and experiments are conducted on the Stanford Range Image Data. Results show that this approach is generally suitable for most of the images; and performs even better on images with darker background.
Keywords :
feature extraction; image processing; 3D information extraction; Stanford range image data; darker background; depth extraction; novel approach; single 2D image; Brightness; Data mining; Estimation; Humans; Image edge detection; Image resolution; Visualization; depth extraction; spidery mesh; vanishing point;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems and Informatics (ICSAI), 2012 International Conference on
Conference_Location :
Yantai
Print_ISBN :
978-1-4673-0198-5
Type :
conf
DOI :
10.1109/ICSAI.2012.6223613
Filename :
6223613
Link To Document :
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