3D object recognition using perceptual components

Proceedings of the International Joint Conference on Neural Networks

Volumn 1, Issue , 2001, Pages 553-558

  Liu, X W ^a   Srivastava, A ^a  

^a Florida State University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTATIONAL METHODS; DATABASE SYSTEMS; DIGITAL FILTERS; FAST FOURIER TRANSFORMS; FREQUENCY DOMAIN ANALYSIS; IMAGE CODING; IMAGE RECONSTRUCTION; NEURAL NETWORKS; STATISTICAL METHODS; THREE DIMENSIONAL;

BOTTOM-UP REPRESENTATION; PERCEPTUAL COMPONENT; SPECTRAL HISTOGRAM;

OBJECT RECOGNITION;

EID: 0034858219     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (11)

1. Probability models for clutter in natural images
2. Pyramid-based texture analysis/synthesis
3. Texture classification using local spectral histograms
4. Appearance-based recognition using perceptual components
5. Visual learning and recognition of 3-d objects from appearance
6. Support vector machines for 3D object recognition
7. Color indexing
8. Eigenfaces for recognition
9. Learning to recognize 3D objects with SNoW
10. Exploring texture ensembles by efficient Markov Chain Monte Carlo
11. Minimax entropy principle and its application to texture modeling