DocumentCode :
2148885
Title :
Acquiring 3D Experience of View Angle Estimation Based on Monocular and Single Image
Author :
Wei, Hui ; Qiu, Zhen-Yu
Volume :
2
fYear :
2008
fDate :
27-30 May 2008
Firstpage :
305
Lastpage :
309
Abstract :
It has been proved that acquired training is important to the development of stereopsis experience. Month-old babies already have the initial experience of invariance recognition of 3D objects. There is a slight lack of precision in the interpretation of biological vision. However, the small cost and the fast speed in calculation meet the requirements of invariance recognition, the rich visual experience in which play an important role. But what is the experience, how to acquire and how to use, these problems have never been satisfactorily resolved. In this paper we simulate the learning of visual experience in children, and solve a view angle estimated problem by using self-organizing network, which make the hidden experience clarified. Compared to the Classic camera calibration, which a large number of parameters need to be estimated, this method needs only one image and does not aim to 3D reconstruction. By avoiding the complex calibration and registration process, an amount of computation has been reduced. Visual experiences are all obtained from the most ordinary examples, and the characterization based on the geometric feature. Therefore, this method has strong expansibility and good generalization ability.
Keywords :
Biological system modeling; Biomedical signal processing; Calibration; Cameras; Computer science; Computer vision; Costs; Pediatrics; Self-organizing networks; Signal processing algorithms; Camera calibration; View Angle Estimation; stereopsis; visual experience learning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image and Signal Processing, 2008. CISP '08. Congress on
Conference_Location :
Sanya, China
Print_ISBN :
978-0-7695-3119-9
Type :
conf
DOI :
10.1109/CISP.2008.619
Filename :
4566316
Link To Document :
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