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Clausius Normalized Field-Based Stereo Matching for Uncalibrated Image Sequences
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  • Clausius Normalized Field-Based Stereo Matching for Uncalibrated Image Sequences
  • Clausius Normalized Field-Based Stereo Matching for Uncalibrated Image Sequences
저자명
Koh. Eun-Jin,Lee. Jae-Yeon,Park. Jun-Seok
간행물명
ETRI journal
권/호정보
2010년|32권 5호|pp.750-760 (11 pages)
발행정보
한국전자통신연구원
파일정보
정기간행물|ENG|
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이 논문은 한국과학기술정보연구원과 논문 연계를 통해 무료로 제공되는 원문입니다.
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기타언어초록

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.