111 search results - page 18 / 23 » Learning skeletons for shape and pose |
EMMCVPR
2007
Springer
15 years 3 months ago
2007
Springer
Recognizing humans, estimating their pose and segmenting their body parts are key to high-level image understanding. Because humans are highly articulated, the range of deformation...
109
Voted
ICANN
2011
Springer
14 years 1 months ago
2011
Springer
The artificial neural networks that are used to recognize shapes typically use one or more layers of learned feature detectors that produce scalar outputs. By contrast, the comput...
CVPR
2008
IEEE
15 years 11 months ago
2008
IEEE
We pose the recognition problem as data association. In this setting, a novel object is explained solely in terms of a small set of exemplar objects to which it is visually simila...
90
Voted
CVPR
2008
IEEE
15 years 11 months ago
2008
IEEE
This paper presents a novel approach to pedestrian classification which involves utilizing the synthesized virtual samples of a learned generative model to enhance the classificat...
ICPR
2004
IEEE
15 years 10 months ago
2004
IEEE
Domains in which shapes of objects change rapidly and significantly are a challenge for existing representation techniques: sport is a good example of this. We present a texture-b...