1512 search results - page 181 / 303 » Learning Object Shape: From Drawings to Images |
189
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IROS
2008
IEEE
16 years 28 days ago
2008
IEEE
— This paper presents a method to autonomously extract object features that describe their dynamics from active sensing experiences. The model is composed of a dynamics learning ...
196
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AVSS
2006
IEEE
15 years 10 months ago
2006
IEEE
The success of any Bayesian particle filtering based tracker relies heavily on the ability of the likelihood function to discriminate between the state that fits the image well an...
194
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CVPR
2008
IEEE
16 years 8 months ago
2008
IEEE
This paper proposes a new concept in hierarchical representations that exploits features of different granularity and specificity coming from all layers of the hierarchy. The conc...
181
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SCIA
2007
Springer
16 years 19 days ago
2007
Springer
Non-photorealistic rendering (NPR) techniques aim to outline the shape of objects and reduce visual clutter such as shadows and inner texture edges. As the first phase result of ou...
191
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CVPR
2005
IEEE
16 years 8 months ago
2005
IEEE
Objects can exhibit different dynamics at different scales, and this is often exploited by visual tracking algorithms. A local dynamic model is typically used to extract image fea...