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Interactive contour extraction using NURBS-HMM
Lei, DB; Pan, CH; Yang, Q; Shi, MY; Narayanan, PJ; Nayar, SK; Shum, HY
Source PublicationCOMPUTER VISION - ACCV 2006, PT I
AbstractIn the paper, we attempt to develop a novel method to offer the possibility even for a non-expert to extract easily the contour of an object. A NURBS-HMM framework aiming at the interactive image contour extraction is proposed. We fit the initial points input by users with Non-Uniform Rational B-Spline(NURBS). Due to the local controllability of NURBS, the control points are considered as the states of Hidden Markov Model(HMM) framework, and the boundary features and uniformity along the boundary are integrated as the observations. The experimental results show the robustness of our method. As an interactive method, the method interacts with users in an efficient and comfortable way.
WOS HeadingsScience & Technology ; Technology
Indexed ByISTP ; SCI
WOS Research AreaComputer Science
WOS SubjectComputer Science, Artificial Intelligence ; Computer Science, Theory & Methods
WOS IDWOS:000235772300086
Citation statistics
Document Type期刊论文
Affiliation1.Commun Univ China, Beijing, Peoples R China
2.Chinese Acad Sci, Inst Automat, NLPR, Beijing, Peoples R China
Recommended Citation
GB/T 7714
Lei, DB,Pan, CH,Yang, Q,et al. Interactive contour extraction using NURBS-HMM[J]. COMPUTER VISION - ACCV 2006, PT I,2006,3851:858-867.
APA Lei, DB.,Pan, CH.,Yang, Q.,Shi, MY.,Narayanan, PJ.,...&Shum, HY.(2006).Interactive contour extraction using NURBS-HMM.COMPUTER VISION - ACCV 2006, PT I,3851,858-867.
MLA Lei, DB,et al."Interactive contour extraction using NURBS-HMM".COMPUTER VISION - ACCV 2006, PT I 3851(2006):858-867.
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