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ICPR
2000
IEEE
13 years 9 months ago
Locale-Based Visual Object Retrieval under Illumination Change
Providing a user with an effective image search engine has been a very active research area. A search by an object model is considered to be one of the most desirable and yet difï...
Zinovi Tauber, Ze-Nian Li, Mark S. Drew
SPIESR
2000
104views Database» more  SPIESR 2000»
13 years 6 months ago
Feature localization and search by object model under illumination change
Color object recognition methods that are based on image retrieval algorithms can handle changes of illumination via image normalization, e.g. simple color-channel-normalization1 ...
Mark S. Drew, Zinovi Tauber, Ze-Nian Li
PR
2002
202views more  PR 2002»
13 years 4 months ago
Illumination color covariant locale-based visual object retrieval
Search by Object Model -- finding an object inside a target image -- is a desirable and yet difficult mechanism for querying multimedia data. An added difficulty is that objects c...
Mark S. Drew, Ze-Nian Li, Zinovi Tauber
ECCV
2004
Springer
14 years 7 months ago
Detecting Keypoints with Stable Position, Orientation, and Scale under Illumination Changes
Local feature approaches to vision geometry and object recognition are based on selecting and matching sparse sets of visually salient image points, known as `keypoints' or `p...
Bill Triggs
AROBOTS
2007
159views more  AROBOTS 2007»
13 years 5 months ago
Structure-based color learning on a mobile robot under changing illumination
— A central goal of robotics and AI is to be able to deploy an agent to act autonomously in the real world over an extended period of time. To operate in the real world, autonomo...
Mohan Sridharan, Peter Stone