ETRI-Knowledge Sharing Plaform

ENGLISH

성과물

논문 검색
구분 SCI
연도 ~ 키워드

상세정보

학술지 Clausius Normalized Field-Based Stereo Matching for Uncalibrated Image Sequences
Cited 4 time in scopus Download 0 time Share share facebook twitter linkedin kakaostory
저자
고은진, Jaeyeon Lee, 박준석
발행일
201010
출처
ETRI Journal, v.32 no.5, pp.750-760
ISSN
1225-6463
출판사
한국전자통신연구원 (ETRI)
DOI
https://dx.doi.org/10.4218/etrij.10.1510.0067
협약과제
09MC3800, 비접촉식 멀티포인트 실감 인터랙션 기술 개발, 박준석
초록
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. © 2010 ETRI.
키워드
Computer vision, HCI, Uncalibrated stereo matching time-varying imagery
KSP 제안 키워드
Computer Vision(CV), Image Pairs, Image sequence, Matching Problem, Matching time, Normalized field, Thermodynamic system, White balancing, physical systems, practical application, stereo camera