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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
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
ECCV
2004
Springer
14 years 6 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
IEAAIE
2007
Springer
13 years 10 months ago
Phase-Based Feature Matching Under Illumination Variances
The problem of matching feature points in multiple images is difficult to solve when their appearance changes due to illumination variance, either by lighting or object motion. In ...
Masaaki Nishino, Atsuto Maki, Takashi Matsuyama
ICCV
2007
IEEE
13 years 11 months ago
Non-Rigid Object Alignment with a Mismatch Template Based on Exhaustive Local Search
Non-rigid object alignment is especially challenging when only a single appearance template is available and target and template images fail to match. Two sources of discrepancy b...
Yang Wang, Simon Lucey, Jeffrey F. Cohn