ICA-based probabilistic local appearance models

IEEE International Conference on Image Processing

Volumn 1, Issue , 2001, Pages 161-164

  Zhou, X S ^a   Moghaddam, B ^a   Huang, T S ^a  

^a UNIVERSITY OF ILLINOIS AT URBANA CHAMPAIGN   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL COMPLEXITY; FEATURE EXTRACTION; IMAGE RETRIEVAL; INDEPENDENT COMPONENT ANALYSIS; MATHEMATICAL MODELS; OBJECT RECOGNITION;

K-TUPLE SALIENT POINT FEATURE VECTOR; OBJECT DETECTION;

IMAGE ANALYSIS;

EID: 0035158681     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (14)

1. Object recognition with color cooccurrence histograms
2. Independent component analysis - A new concept?
3. A computational approach for corner and vertex detection
4. A combined corner and edge detector
5. Image indexing using color correlograms
6. Blind separation of sources
7. Representation of local geometry in the visual system
8. Regions-of-interest and spatial layout in content-based image retrieval
9. Probabilistic visual learning for object representation
10. Local grayvalue invariants for image retrieval
11. Comparing and evaluating interest points
12. A structured probabilistic model for recognition
13. Probabilistic modeling of local appearance and spatial relationships for object recognition
14. Color indexing