We present an intuitive and efficient system for correcting the artifacts and noises caused by imperfect disparity estimation. Disparity estimation is a very important and basic process for almost all stereoscopic 3D applications. Although there are many disparity estimation methods, none of them are perfect and suitable for any arbitrary case. Given a defect disparity map estimated from a stereoscopic image pair, our system incorporates some simple user hints and rich information derived from sparse feature matching as guides for disparity correction. We also utilize 3D connectivity prior and planarity assumption to overcome the challenge presented by textureless surfaces and occluded regions. By providing an intuitive user interface with integrated stereo visualization, our system allows novel users to correct their own disparity maps easily.
Hsin-Yi Chen, Yi-Shan Lin, I-Chao Shen, Sheng-Jie Luo, Wen-Huang Cheng, Bing-Yu Chen, User-Assisted Disparity Maps. Proc. of Pacific Graphics 2012
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We thank the anonymous reviewers for their constructive comments. Special thanks also go to flickr users: Jerry3D and pinboke for sharing their stereoscopic images. This research was supported in part by the National Science Council of Taiwan under grant NSC100-2622-E-002-016-CC2.
@inproceedings{ Chen:2012:SDM, author = {Hsin-Yi Chen and Yi-Shan Lin and I-Chao Shen and Sheng-Jie Luo and Wen-Huang Cheng and Bing-Yu Chen}, title = {User-Assisted Disparity Maps}, booktitle = {Pacific Graphics 2012 Short Papers}, year = {2012} }
Last updated Time : March 10, 2013