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» Probabilistic Modeling and Recognition of 3-D Objects
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CAIP
2009
Springer
252views Image Analysis» more  CAIP 2009»
14 years 2 months ago
Incorporating Shape Features in an Appearance-Based Object Detection System
Most object detection techniques discussed in the literature are based solely on texture-based features that capture the global or local appearance of an object. While results indi...
Gurman Gill, Martin Levine
PAMI
2012
11 years 10 months ago
A Tree-Based Context Model for Object Recognition
—There has been a growing interest in exploiting contextual information in addition to local features to detect and localize multiple object categories in an image. A context mod...
Myung Jin Choi, Antonio Torralba, Alan S. Willsky
ECCV
2004
Springer
14 years 9 months ago
A Statistical Model for General Contextual Object Recognition
We consider object recognition as the process of attaching meaningful labels to specific regions of an image, and propose a model that learns spatial relationships between objects....
Peter Carbonetto, Nando de Freitas, Kobus Barnard
CVPR
2012
IEEE
11 years 10 months ago
From Pictorial Structures to deformable structures
Pictorial Structures (PS) define a probabilistic model of 2D articulated objects in images. Typical PS models assume an object can be represented by a set of rigid parts connecte...
Silvia Zuffi, Oren Freifeld, Michael J. Black
NIPS
2007
13 years 9 months ago
Object Recognition by Scene Alignment
Current object recognition systems can only recognize a limited number of object categories; scaling up to many categories is the next challenge. We seek to build a system to reco...
Bryan C. Russell, Antonio Torralba, Ce Liu, Robert...