Illumination color covariant locale-based visual object retrieval

Pattern Recognition

Volumn 35, Issue 8, 2002, Pages 1687-1704

  Drew, Mark S ^a   Li, Ze Nian ^a   Tauber, Zinovi ^a  

^a SIMON FRASER UNIVERSITY   (Canada)

Author keywords

Color; Elastic correlation; Illumination invariance; Image segmentation; Locales; Object recognition; Search by object model

Indexed keywords

COLOR VISION; ESTIMATION; IMAGE RETRIEVAL; LEAST SQUARES APPROXIMATIONS; LIGHTING;

COLOR CONSTANCY;

COLOR;

IMAGE ANALYSIS;

EID: 0036681036     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0031-3203(01)00163-7     Document Type: Article

References (22)

1. The virage search engine: An open framework for image management
2. Query by image and video content: The QBIC system
3. A fully automatic content-based video search engine supporting multi-object spatio-temporal queries
4. Efficient video sequence retrieval in large repositories
5. Color indexing
6. Texture features corresponding to visual perception
7. Periodicity, directionality, and randomness: World features for image modeling and retrieval
8. A multiscale representation including opponent color features for texture recognition
9. The illumination-invariant recognition of color texture
10. Robust and efficient shape indexing through curvature scale space
11. Illumination-invariant image retrieval and video segmentation
12. Object matching using deformable templates
13. Region-based representations of image and video: Segmentation tools for multimedia services
14. Color- and texture-based image segmentation using expectation-maximization algorithm and its application to content-based image retrieval
15. Illumination invariance and object model in content-based image and video retrieval
16. Feature localization and search by object model under illumination change
17. Generalizing the hough transform to detect arbitrary shapes
18. Compact region extraction using weighted pixel linking in a pyramid
19. From nomad to explorer: Active object recognition on mobile robots
20. Is machine colour constancy good enough?