A new signature-based method for efficient 3-D object recognition

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

Volumn 1, Issue , 2001, Pages

  Ruiz Correa, Salvador ^a   Shapiro, Linda G ^a   Meliǎ, Marina ^a  

^a University of Washington   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; CORRELATION METHODS; IMAGE ANALYSIS; PATTERN RECOGNITION SYSTEMS; REGRESSION ANALYSIS; STATE SPACE METHODS;

IMAGE REPRESENTATION;

OBJECT RECOGNITION;

EID: 0035687069     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (15)

1. Range image understanding
2. Point signatures: A new representation for 3-D object recognition
3. Experiments with random projection
4. COSMOS-A representation scheme for 3-D free-form objects
5. The representation, recognition, and locating of 3-D objects
6. Extensions of lipschitz mappings into a hilbert space
7. Control of polygonal mesh resolution for 3-D computer vision
8. Using spin images for efficient object recognition in cluttered 3D scenes
9. Visual learning and recognition of 3-D objects from appearance
10. A simple algorithm for nearest neighbor search in high dimensions
11. Structural indexing: Efficient 3-D object recognition
12. Free-form surface registration and object recognition using surface signatures
13. Harmonic maps and their applications in surface matching