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AAAI
1990
14 years 10 months ago
1990
This paper presents an efficient and homogeneous paradigm for automatic acquisition and recognition of nonparametric shapes. Acquisition time varies from linear to cubic in the nu...
CVPR
1999
IEEE
15 years 1 months ago
1999
IEEE
We introduce an approach to feature-based object recognition, using maximum a posteriori (MAP) estimation under a Markov random field (MRF) model. This approach provides an effici...
CVPR
2007
IEEE
15 years 11 months ago
2007
IEEE
This paper presents a novel statistical shape model that can be used to detect and localise feature points of a class of objects in images. The shape model is inspired from the 3D...
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CVPR
2009
IEEE
16 years 4 months ago
2009
IEEE
This paper presents a unified framework for object detection,
segmentation, and classification using regions. Region
features are appealing in this context because: (1) they enco...
ICRA
2008
IEEE
15 years 4 months ago
2008
IEEE
Abstract— This paper studies the sequential object recognition problem faced by a mobile robot searching for specific objects within a cluttered environment. In contrast to curr...