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ICCV
2003
IEEE
16 years 6 months ago
Conditional Feature Sensitivity: A Unifying View on Active Recognition and Feature Selection
The objective of active recognition is to iteratively collect the next "best" measurements (e.g., camera angles or viewpoints), to maximally reduce ambiguities in recogn...
Xiang Sean Zhou, Dorin Comaniciu, Arun Krishnan
ECCV
2008
Springer
16 years 6 months ago
Towards Scalable Dataset Construction: An Active Learning Approach
As computer vision research considers more object categories and greater variation within object categories, it is clear that larger and more exhaustive datasets are necessary. How...
Brendan Collins, Jia Deng, Kai Li, Fei-Fei Li 0002
ICPR
2006
IEEE
16 years 5 months ago
Active Feature Models
In this paper active feature models are proposed. They utilize local texture features and a statistical shape model for the reliable localization of landmarks in images. They are ...
Georg Langs, Philipp Peloschek, Rene Donner, Micha...
ICASSP
2008
IEEE
15 years 10 months ago
Multi-feature vector flow for active contour tracking
In order to achieve both fast tracking and accurate object extraction, we present in this paper an original real-time active contour method, incorporating different feature maps i...
Joanna I. Olszewska, Christophe De Vleeschouwer, B...
RAS
2007
119views more  RAS 2007»
15 years 3 months ago
Active estimation of distance in a robotic system that replicates human eye movement
In a moving agent, the different apparent motion of objects located at various distances provides an important source of depth information. While motion parallax is evident for la...
Fabrizio Santini, Michele Rucci