DocumentCode :
582384
Title :
Depth estimation from a single image and method of manufacturing 3D photo
Author :
Xinwei, Chen ; Jingtai, Liu ; Tao, Shi ; Haili, Qian ; Sen, Zhang
Author_Institution :
Inst. of Robot. & Inf. Autom. Syst., Nankai Univ., Tianjin, China
fYear :
2012
fDate :
25-27 July 2012
Firstpage :
4830
Lastpage :
4835
Abstract :
In this paper, a method of basal depth estimation from a single image using MRF-MAP is presented. Based on the limit of manufacturing 3D photo, the basal depth is optimized. Then the depth of details is obtained by using the texture and shadow of the image. The basal optimized depth and the details´ depth are superposition to achieve the image´s relief model. At last, a 3D printing robot is described, which can carve and paint using the relief model and image data, to realize true-color 3D photo´s manufacture.
Keywords :
image texture; industrial robots; mobile robots; production engineering computing; robot vision; three-dimensional printing; 3D printing robot; MRF-MAP; basal depth estimation method; image relief model; image shadow; image texture; manufacturing 3D photo method; single image; true-color 3D photo manufacture; Educational institutions; Electronic mail; Estimation; Manufacturing; Robots; Silicon; Solid modeling; 3D Photo; MRF-MAP; Relief Model; True Color;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Conference (CCC), 2012 31st Chinese
Conference_Location :
Hefei
ISSN :
1934-1768
Print_ISBN :
978-1-4673-2581-3
Type :
conf
Filename :
6390777
Link To Document :
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