文章基本信息

标题：Clausius Normalized Field-Based Stereo Matching for Uncalibrated Image Sequences
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作者：Koh, Eun-Jin ; Lee, Jae-Yeon ; Park, Jun-Seok 等
期刊名称：ETRI Journal
印刷版ISSN：1225-6463
电子版ISSN：2233-7326
出版年度：2010
卷号：32
期号：5
页码：750-760
DOI：10.4218/etrij.10.1510.0067
语种：English
出版社：Electronics and Telecommunications Research Institute
摘要：We propose a homology between thermodynamic systems and images for the treatment of time-varying imagery. A physical system colder than its surroundings absorbs heat from the surroundings. Furthermore, the absorbed heat increases the entropy of the system, which is closely related to its disorder as given by the definition of Clausius and Boltzmann. Because pixels of an image are viewed as a state of lattice-like molecules in a thermodynamic system, the task of reckoning the entropy variations of pixels is similar to estimating their degrees of disorder. We apply this homology to the uncalibrated stereo matching problem. The absence of calibrations alleviates user efforts to install stereo cameras and enables users to freely modify the composition of the cameras. The proposed method is also robust to differences in brightness, white balancing, and even focusing between stereo image pairs. These peculiarities enable users to estimate the depths of interesting objects in practical applications without much effort in order to set and maintain a stereo vision setup. Users can consequently utilize two webcams as a stereo camera.
关键词：Computer vision;uncalibrated stereo matching time-varying imagery;HCI