3D object recognition using Bayesian geometric hashing and pose clustering

Pattern Recognition

Volumn 36, Issue 3, 2003, Pages 765-780

  Sehgal, Anshul ^a   Desai, U B ^b  

^a University of Illinois at Urbana Champaign   (United States)

^b INDIAN INSTITUTE OF TECHNOLOGY BOMBAY   (India)

Author keywords

Geometric hashing; Object recognition; Pose clustering

Indexed keywords

ALGORITHMS; COMPUTER SIMULATION; FEATURE EXTRACTION; SENSORS; SPURIOUS SIGNAL NOISE;

GEOMETRIC HASHING;

OBJECT RECOGNITION;

ALGORITHM; BAYESIAN ANALYSIS; CLUSTER ANALYSIS; PATTERN RECOGNITION;

EID: 0036522832     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0031-3203(02)00102-4     Document Type: Article

References (17)

1. Geometric hashing: A general and efficient model-based object recognition scheme
2. 3D object recognition from 2D images using geometric hashing
3. 3D object recognition using invariant feature indexing of interpretation tables
4. Three-dimensional object recognition
5. Object recognition using geometric hashing on the connection machine
6. Object recognition using the connection machine
7. 3D object recognition using feature indexing of interpretation tables
8. Model-based 3D object recognition using Bayesian indexing
9. On the sensitivity of geometric hashing
10. Object recognition and localization via pose clustering
11. Object recognition by affine invariant matching
12. Massively parallel model matching: Geometric hashing on the connection machine
13. Geometric hashing with line features