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» Learning Hierarchical Models of Scenes, Objects, and Parts
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CVPR
2008
IEEE
15 years 11 months ago
Real-time pose estimation of articulated objects using low-level motion
We present a method that is capable of tracking and estimating pose of articulated objects in real-time. This is achieved by using a bottom-up approach to detect instances of the ...
Ben Daubney, David P. Gibson, Neill W. Campbell
APGV
2004
ACM
176views Visualization» more  APGV 2004»
15 years 3 months ago
Towards perceptually realistic talking heads: models, methods and McGurk
Motivated by the need for an informative, unbiased and quantitative perceptual method for the development and evaluation of a talking head we are developing, we propose a new test...
Darren Cosker, Susan Paddock, A. David Marshall, P...
VISAPP
2008
14 years 11 months ago
Pose Clustering From Stereo Data
Abstract. This article describes an algorithm for pose or motion estimation based on clustering of parameters in the six-dimensional pose space. The parameter samples are computed ...
Ulrich Hillenbrand
NIPS
2001
14 years 11 months ago
Probabilistic principles in unsupervised learning of visual structure: human data and a model
To find out how the representations of structured visual objects depend on the co-occurrence statistics of their constituents, we exposed subjects to a set of composite images wit...
Shimon Edelman, Benjamin P. Hiles, Hwajin Yang, Na...
FLAIRS
2008
15 years 4 days ago
Towards Verification of Storyboards
Storyboards are commonly known as rows of pictures, which exemplarily sketch scenes in performing arts. The rows specify the sequence of scenes. The scenes themselves are illustra...
Rainer Knauf, Horst Duesel