DocumentCode :
2711601
Title :
Scene warping: Layer-based stereoscopic image resizing
Author :
Lee, Ken-Yi ; Chung, Cheng-Da ; Chuang, Yung-Yu
Author_Institution :
Nat. Taiwan Univ., Taipei, Taiwan
fYear :
2012
fDate :
16-21 June 2012
Firstpage :
49
Lastpage :
56
Abstract :
This paper proposes scene warping, a layer-based stereoscopic image resizing method using image warping. The proposed method decomposes the input stereoscopic image pair into layers according to the depth and color information. A quad mesh is placed onto each layer to guide the image warping for resizing. The warped layers are composited by their depth orders to synthesize the resized stereoscopic image. We formulate an energy function to guide the warping for each layer so that the composited image avoids distortions and holes, maintains good stereoscopic properties and contains as many important pixels as possible in the reduced image space. The proposed method offers the advantages of less discontinuous artifacts, less-distorted objects, correct depth ordering and enhanced stereoscopic quality. Experiments show that our method compares favorably with existing methods.
Keywords :
image colour analysis; image enhancement; stereo image processing; color information; depth ordering; discontinuous artifact; energy function; image warping; layer-based stereoscopic image resizing; less-distorted object; quad mesh; scene warping; stereoscopic image pair decomposition; stereoscopic quality enhancement; Energy measurement; Image color analysis; Image edge detection; Image quality; Object segmentation; Optimization; Stereo image processing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision and Pattern Recognition (CVPR), 2012 IEEE Conference on
Conference_Location :
Providence, RI
ISSN :
1063-6919
Print_ISBN :
978-1-4673-1226-4
Electronic_ISBN :
1063-6919
Type :
conf
DOI :
10.1109/CVPR.2012.6247657
Filename :
6247657
Link To Document :
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