Zobrazeno 1 - 10
of 456
pro vyhledávání: '"Baozong Yuan"'
Publikováno v:
In Engineering Applications of Artificial Intelligence 2006 19(1):79-101
Autor:
Zhenjiang, Miao a, *, Baozong, Yuan b
Publikováno v:
In Neural Networks 1999 12(2):259-271
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
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
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
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
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
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
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
Publikováno v:
Audio- & Video-Based Biometric Person Authentication; 2005, p929-936, 8p