Zobrazeno 1 - 10
of 306
pro vyhledávání: '"Baozong Yuan"'
Publikováno v:
In Engineering Applications of Artificial Intelligence 2006 19(1):79-101
Publikováno v:
Tsinghua Science and Technology. 16:233-240
Creating realistic virtual humans has been a challenging objective in computer science research for some time. This paper describes an integrated framework for modeling virtual humans with a high level of autonomy. The framework seeks to reproduce hu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::86661d7e0374c5436805c37d90f744bf
https://doi.org/10.1016/s1007-0214(11)70034-7
https://doi.org/10.1016/s1007-0214(11)70034-7
Markerless human motion capture by Markov random field and dynamic graph cuts with color constraints
Publikováno v:
Science in China Series F: Information Sciences. 52:252-259
Currently, many vision-based motion capture systems require passive markers attached to key locations on the human body. However, such systems are intrusive with limited application. The algorithm that we use for human motion capture in this paper is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6ca926e9cce953f6bc23dce65a71d651
https://doi.org/10.1007/s11432-009-0040-x
https://doi.org/10.1007/s11432-009-0040-x
Publikováno v:
Science in China Series F: Information Sciences. 52:322-328
Moving object segmentation is one of the most challenging issues in computer vision. In this paper, we propose a new algorithm for static camera foreground segmentation. It combines Gaussian mixture model (GMM) and active contours method, and produce
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7e164c196916978da366198a48221bc9
https://doi.org/10.1007/s11432-009-0052-6
https://doi.org/10.1007/s11432-009-0052-6
Publikováno v:
Journal of Electronics (China). 25:616-621
Recently, some research efforts have shown that face images possibly reside on a nonlinear sub-manifold. Though Laplacianfaces method considered the manifold structures of the face images, it has limits to solve face recognition problem. This paper p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b638db617a9e481db47a984c74157773
https://doi.org/10.1007/s11767-007-0014-3
https://doi.org/10.1007/s11767-007-0014-3
Publikováno v:
Pattern Recognition. 41:575-591
This paper presents a novel approach based on the use of evolutionary agents for epipolar geometry estimation. In contrast to conventional nonlinear optimization methods, the proposed technique employs each agent to denote a minimal subset to compute
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::95b3b0e81a432cbf8cba54edff01d3cc
https://doi.org/10.1016/j.patcog.2007.06.016
https://doi.org/10.1016/j.patcog.2007.06.016
Publikováno v:
The Visual Computer. 24:373-380
Current vision-based human body motion capture methods always use passive markers that are attached to key locations on the human body. However, such systems may confront subjects with cumbersome markers, making it difficult to convert the marker dat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::18dfb3228657312746585ba81d3bf595
https://doi.org/10.1007/s00371-007-0195-7
https://doi.org/10.1007/s00371-007-0195-7
Publikováno v:
International Journal of Cognitive Informatics and Natural Intelligence. 2:87-99
This article proposes a 3D object classification approach based on volumetric parts, where Superquadricbased Geon (SBG) description is implemented for representing the volumetric constituents of 3D object. In the approach, 3D object classification is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bccd03f6208a3697453dec854b5e18a3
https://doi.org/10.4018/jcini.2008010107
https://doi.org/10.4018/jcini.2008010107
Publikováno v:
Image and Vision Computing. 24:1115-1122
This paper describes a rose variety recognition program and proposes Modified Fourier Descriptor . Based on the modified descriptor, a new measurement, Angle Measurement , is proposed for image shape analysis. The rationality of this measurement is a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d2dddcbac51870206395c8473f7240b4
https://doi.org/10.1016/j.imavis.2006.04.004
https://doi.org/10.1016/j.imavis.2006.04.004