DocumentCode :
2119778
Title :
An automatic depth map generation method by image classification
Author :
Hao Dong ; Shouyi Yin ; Guangli Jiang ; Leibo Liu ; Shaojun Wei
Author_Institution :
Inst. of Microelectron., Tsinghua Univ., Beijing, China
fYear :
2015
fDate :
9-12 Jan. 2015
Firstpage :
168
Lastpage :
169
Abstract :
This paper presents an automatic algorithm which generates depth map for 2D to 3D conversion. The depth map is generated by fusing global depth gradient and local depth refinement. First, the proposed algorithm judges the scene type of the input image. Then, it generates global depth gradient of the image according to its scene type. At last, local depth refinement is implemented by using warm/cool color theory. Experimental results show that the algorithm has advantages in both adaptability and processing time.
Keywords :
image classification; image colour analysis; image sequences; 2D-3D conversion; automatic depth map generation; global depth gradient; image classification; local depth refinement; warm-cool color theory; Classification algorithms; Consumer electronics; Image color analysis; Image edge detection; Materials; Three-dimensional displays; Videos;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Consumer Electronics (ICCE), 2015 IEEE International Conference on
Conference_Location :
Las Vegas, NV
Print_ISBN :
978-1-4799-7542-6
Type :
conf
DOI :
10.1109/ICCE.2015.7066365
Filename :
7066365
Link To Document :
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