Content-driven retargeting of stereoscopic images

Title
Content-driven retargeting of stereoscopic images
Authors
박인규
Keywords
Disparity consistency, retargeting, sparse disparity, stereoscopic image
Issue Date
2013
Publisher
IEEE SIGNAL PROCESSING LETTERS
Series/Report no.
IEEE SIGNAL PROCESSING LETTERS ; Vol20 no.5 Startpage 519 Endpage 522
Abstract
This letter proposes a novel warping-based method for the content-driven retargeting of stereoscopic images. Conventional algorithms in single image retargeting generally do not consider the scene depth saliency and disparity consistency when applied independently to left and right images . Therefore, the salient region and stereoscopic correlation of independently retargeted images can become corrupted. On the other hand, the proposed algorithm retains the stereo consistency of the retargeted images by matching the vertices of the grid and preserving the correspondence between them. Vertex disparity is propagated by a GPU interpolation to construct a sparse disparity map. To improve the capability of preserving visually important regions, the sparse disparity is used in conjunction with the image gradient in a saliency map computation. The experimental results show that the proposed method retains the correct disparity, while the salient objects remain undistorted in the retargeted stereoscopic image pairs.
URI
http://dspace.inha.ac.kr/handle/10505/33452
ISSN
1070-9908
Appears in Collections:
College of Engineering(공과대학) > Information and Communication Engineering (정보통신공학) > Journal Papers, Reports(정보통신공학 논문, 보고서)
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