For Full-Text PDF, please login, if you are a member of IEICE,|
or go to Pay Per View on menu list, if you are a nonmember of IEICE.
Stereo Image Retargeting with Shift-Map
Ryo NAKASHIMA Kei UTSUGI Keita TAKAHASHI Takeshi NAEMURA
IEICE TRANSACTIONS on Information and Systems
Publication Date: 2011/06/01
Online ISSN: 1745-1361
Print ISSN: 0916-8532
Type of Manuscript: LETTER
Category: Image Recognition, Computer Vision
stereo image editing, image retargeting, shift-map image editing,
Full Text: PDF(393.1KB)
We propose a new stereo image retargeting method based on the framework of shift-map image editing. Retargeting is the process of changing the image size according to the target display while preserving as much of the richness of the image as possible, and is often applied to monocular images and videos. Retargeting stereo images poses a new challenge because pixel correspondences between the stereo pair should be preserved to keep the scene's structure. The main contribution of this paper is integrating a stereo correspondence constraint into the retargeting process. Among several retargeting methods, we adopt shift-map image editing because this framework can be extended naturally to stereo images, as we show in this paper. We confirmed the effectiveness of our method through experiments.