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» Segmentation as Selective Search for Object Recognition
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CVPR
2008
IEEE
14 years 10 months ago
Selective hidden random fields: Exploiting domain-specific saliency for event classification
Classifying an event captured in an image is useful for understanding the contents of the image. The captured event provides context to refine models for the presence and appearan...
Vidit Jain, Amit Singhal, Jiebo Luo
TROB
2011
255views more  TROB 2011»
13 years 3 months ago
Active 3D Object Localization Using a Humanoid Robot
—We study the problem of actively searching for an object in a 3D environment under the constraint of a maximum search time, using a visually guided humanoid robot with twentysix...
Alexander Andreopoulos, Stephan Hasler, Heiko Wers...
CVPR
1998
IEEE
14 years 10 months ago
The Sample Tree: A Sequential Hypothesis Testing Approach to 3D Object Recognition
A method is presented for e cient and reliable object recognition within noisy, cluttered, and occluded range images. The method is based on a strategy which hypothesizes the inte...
Michael A. Greenspan
MIR
2005
ACM
133views Multimedia» more  MIR 2005»
14 years 2 months ago
Probabilistic web image gathering
We propose a new method for automated large scale gathering of Web images relevant to specified concepts. Our main goal is to build a knowledge base associated with as many conce...
Keiji Yanai, Kobus Barnard
EUROGP
2009
Springer
143views Optimization» more  EUROGP 2009»
13 years 6 months ago
A Real-Time Evolutionary Object Recognition System
We have created a real-time evolutionary object recognition system. Genetic Programming is used to automatically search the space of possible computer vision programs guided throug...
Marc Ebner