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This paper proposes a multi-view articulated human motion tracking approach with textured deformable mesh model. Firstly, a subject-specific mesh model is initialized by using linear blend skinning method. The model is then textured according to the multi-view image observations. We introduce a segmentation-based method to refine the appearance of the subject. With the textured mesh model, a color-based...
This paper proposes a new articulated human motion tracking and pose estimation algorithm using an improved silhouette extraction method with view adaptive fusion. It is developed around the baseline algorithm in HumanEva, which uses the Annealed Particle Filter (APF). Shadow detection and removal and a level-set method are employed to achieve better silhouette extraction. An adaptive view fusion...
Image-based rendering (IBR) is a promising technology for rendering photo-realistic views of scenes from a collection of densely sampled images or videos, and for developing revolutionary immersive viewing systems. However, most multiple camera systems are designed to be stationary and hence their ability to cope with moving objects and dynamic environment is somewhat limited. This paper studies the...
Image-based rendering (IBR) is an emerging technology for rendering photo-realistic views of scenes from a collection of densely sampled images or videos. It provides a framework for developing revolutionary virtual reality and immersive viewing systems. This paper studies the design of a movable image-based rendering system based on a class of dynamic representations called plenoptic videos. It is...
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