Matching segments in stereoscopic vision

IEEE Instrumentation and Measurement Magazine

Volumn 4, Issue 1, 2001, Pages 37-42

  Loaïza, Humberto ^b   Tribouiet, Jean ^b   Lelandais, Sylvie ^b   Barat, Christian ^b  

^a UNIVERSIDAD DEL VALLE   (Colombia)

^b NONE

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; CALIBRATION; CAMERAS; IMAGE PROCESSING; IMAGE QUALITY; MOBILE ROBOTS; MULTILAYER NEURAL NETWORKS; PATTERN RECOGNITION; ROBOT APPLICATIONS; VISION;

BAYESIAN METHOD; LINEAR DISCRIMINANT ANALYSIS; QUADRATIC DISCRIMINANT ANALYSIS; STEREOSCOPIC SENSOR; STEREOSCOPIC VISION;

SENSORS;

EID: 0035279185     PISSN: 10946969     EISSN: None     Source Type: Journal    
DOI: 10.1109/5289.911172     Document Type: Article

References (10)

1. Practical use of bucketing techniques in computational geometry
2. Maintaining representation of the environment of a mobile robot
3. Neural and statistical classifiers-can these approaches be complementary?
4. A unified approach to the linear camera calibration problem
5. Textural features for image classification
6. Neural and statistical classifiers-taxonomy and two case studies
7. On combining classifiers
8. Techniques for calibration of the scale factor and image center for high accuracy 3-D machine vision metrology
9. A new method for matching segments in stereoscopic vision