DocumentCode :
3318833
Title :
Image Conversion from Planar into Stereo: Random Variables
Author :
Zhu, Qingsheng ; Liu, Ran ; Xu, Xiaoyan ; Zhi, Li´ou ; Zhang, Xiaoyun ; Xie, Hongbo ; Yang, Jun
Author_Institution :
Coll. of Comput. Sci., Chongqing Univ.
Volume :
2
fYear :
2006
fDate :
3-6 Nov. 2006
Firstpage :
1793
Lastpage :
1796
Abstract :
It´s significant to convert a planar image into a stereo one. In this paper we used a method which needs to segment an image into sub-blocks to realize this kind of conversion; parameters such as random variables were used to control the procedure. We presented two quantitative criterions, cross-entropy and root-mean-square error, to evaluate the stereo effect. Furthermore, the stereo effect that the random variables take on was thoroughly discussed. The results of the experiment show that, (i) when each random variable has the same distribution, different values of these random variables affect little the stereo effect; (ii) when different distributions are applied to the random variables, the cross-entropies or root-mean-square errors are slightly different, which indicate different distributions have a little influence on the stereo effect. Commonly, we recommend normal distribution for better stereo effect
Keywords :
entropy; image coding; image segmentation; mean square error methods; normal distribution; random processes; stereo image processing; cross entropy; image conversion; image segmentation; normal distribution; planar image; random variables; root-mean-square error; stereo effect; stereo image; Biomedical monitoring; Computer displays; Computer science; Educational institutions; Image converters; Image segmentation; Pixel; Q measurement; Radio access networks; Random variables;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Security, 2006 International Conference on
Conference_Location :
Guangzhou
Print_ISBN :
1-4244-0605-6
Electronic_ISBN :
1-4244-0605-6
Type :
conf
DOI :
10.1109/ICCIAS.2006.295371
Filename :
4076277
Link To Document :
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