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» Probabilistic Motion Sequence Generation
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CVPR
2006
IEEE
15 years 3 months ago
Specular Flow and the Recovery of Surface Structure
In scenes containing specular objects, the image motion observed by a moving camera may be an intermixed combination of optical flow resulting from diffuse reflectance (diffuse ...
Stefan Roth, Michael J. Black
AMDO
2006
Springer
15 years 1 months ago
Acquisition of Articulated Human Body Models Using Multiple Cameras
Abstract. Motion capture is an important application in different areas such as biomechanics, computer animation, and human-computer interaction. Current motion capture methods typ...
Aravind Sundaresan, Rama Chellappa
CVPR
2008
IEEE
15 years 11 months ago
Principled fusion of high-level model and low-level cues for motion segmentation
High-level generative models provide elegant descriptions of videos and are commonly used as the inference framework in many unsupervised motion segmentation schemes. However, app...
Arasanathan Thayananthan, Masahiro Iwasaki, Robert...
IVA
2005
Springer
15 years 3 months ago
A Platform Independent Architecture for Virtual Characters and Avatars
this is via the ”Motion Abstraction”. This is a single abstraction that represents any type of animation of a character. Different implementations of the ion can provide very ...
M. Gillies, Vinoba Vinayagamoorthy, D. Robeterson,...
CVPR
2012
IEEE
13 years 2 days ago
Unsupervised learning of translation invariant occlusive components
We study unsupervised learning of occluding objects in images of visual scenes. The derived learning algorithm is based on a probabilistic generative model which parameterizes obj...
Zhenwen Dai, Jörg Lücke