DC Field | Value | Language |
---|---|---|
dc.contributor.author | Tai, Yu-Wing | - |
dc.contributor.author | Brown, M.S. | - |
dc.contributor.author | Tang, C.-K. | - |
dc.date.accessioned | 2013-03-27T23:46:36Z | - |
dc.date.available | 2013-03-27T23:46:36Z | - |
dc.date.created | 2012-02-06 | - |
dc.date.issued | 2007-06 | - |
dc.identifier.citation | Computer Vision and Pattern Recognition, 2007. CVPR '07. IEEE Conference on, v.0, no.0, pp.1 - 8 | - |
dc.identifier.issn | 1063-6919 | - |
dc.identifier.uri | http://hdl.handle.net/10203/162353 | - |
dc.description.abstract | Texture flow estimation is a valuable step in a variety of vision related tasks, including texture analysis, image segmentation, shape-from-texture and texture remapping. This paper describes a novel and effective technique to estimate texture flow in an image given a small example patch. The key idea consists of extracting a dense set of features from the example patch where discrete orientations are encapsulated into the feature vector such that rotation can be simulated as a linear shift of the vector. This dense feature space is then compressed by PCA and clustered using EM to produce a set of small set of principal features. Obtaining these principal features at varying image scales, we can compute the per-pixel scale and orientation likelihoods for the distorted texture. The final texture flow estimation is formulated as the MAP solution of a labeling Markov network which is solved using belief propagation. Experimental results on both synthetic and real images demonstrate good results even for highly distorted examples. | - |
dc.language | ENG | - |
dc.publisher | IEEE Computer Society | - |
dc.title | Robust estimation of texture flow via dense feature sampling | - |
dc.type | Conference | - |
dc.type.rims | CONF | - |
dc.citation.volume | 0 | - |
dc.citation.issue | 0 | - |
dc.citation.beginningpage | 1 | - |
dc.citation.endingpage | 8 | - |
dc.citation.publicationname | Computer Vision and Pattern Recognition, 2007. CVPR '07. IEEE Conference on | - |
dc.identifier.conferencecountry | United States | - |
dc.identifier.conferencecountry | United States | - |
dc.contributor.localauthor | Tai, Yu-Wing | - |
dc.contributor.nonIdAuthor | Brown, M.S. | - |
dc.contributor.nonIdAuthor | Tang, C.-K. | - |
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