DocumentCode
2430945
Title
Free view generation in Ray-Space via the radon transform
Author
Houy, Ling ; Auy, Oscar C. ; Maz, Mengyao ; Guoy, Liwei ; Fan, Xiaopeng
Author_Institution
Dept. of Electr. & Comput. Eng., Hong Kong Univ. of Sci. & Technol., Hong Kong
fYear
2008
fDate
7-11 June 2008
Firstpage
671
Lastpage
675
Abstract
Ray-Space interpolation is one of the key technologies to generate arbitrary viewpoint images so as to implement Ray-Space based FTV (Free Viewpoint Television) system. Since Ray-Space data is composed of straight lines with different slopes, how to find the direction of the lines is the problem to be solved in Ray-Space interpolation. In this paper, a radon transform based free view generation algorithm in Ray-Space is proposed. First, feature points of epipolar plane image (EPI) are extracted to form a feature EPI (FEPI). Then, Radon Transform is applied to each FEPI to find the possible interpolation direction. Finally, the optimal interpolation direction is determined by an improved block-based matching algorithm. Experimental results show that the virtual view point image generated by the proposed algorithm has much higher quality than that generated by the traditional pixel matching based interpolation (PMI) and block matching based interpolation (BMI).
Keywords
Radon transforms; feature extraction; image matching; interpolation; television; Radon transform; block-based matching algorithm; epipolar plane image feature extraction; free view generation algorithm; free viewpoint television system; image quality; pixel matching; ray-space interpolation; Cameras; Filters; Image generation; Interpolation; Layout; Neural networks; Signal generators; Signal processing; Signal processing algorithms; TV; FTV (Free Viewpoint Television); Radon Transform; Ray-Space interpolation; epipolar plane image (EPI);
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks and Signal Processing, 2008 International Conference on
Conference_Location
Nanjing
Print_ISBN
978-1-4244-2310-1
Electronic_ISBN
978-1-4244-2311-8
Type
conf
DOI
10.1109/ICNNSP.2008.4590435
Filename
4590435
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