Learning-based versus model-based log-polar feature extraction operators: A comparative study

Brazilian Symposium of Computer Graphic and Image Processing

Volumn 2003-January, Issue , 2003, Pages 299-306

  Gomes, H M ^a   Fisher, R B ^b  

^a FEDERAL UNIVERSITY OF CAMPINA GRANDE   (Brazil)

^b UNIVERSITY OF EDINBURGH   (United Kingdom)

Author keywords

Biosensors; Computational geometry; Computer networks; Feature extraction; Image sensors; Machine vision; Mathematical model; Neural networks; Sensor arrays; Visual system

Indexed keywords

BIOSENSORS; COMPUTATIONAL GEOMETRY; COMPUTER GRAPHICS; COMPUTER NETWORKS; COMPUTER VISION; EXTRACTION; FEATURE EXTRACTION; IMAGE SENSORS; MATHEMATICAL MODELS; MATHEMATICAL OPERATORS; NEURAL NETWORKS; SENSOR ARRAYS;

COMPARATIVE STUDIES; FALSE ACCEPTANCE; FALSE REJECTION; LEARNING-BASED APPROACH; MODEL BASED APPROACH; MODEL-BASED OPC; NEURAL NETWORK FEATURES; VISUAL SYSTEMS;

IMAGE PROCESSING;

EID: 61949105724     PISSN: 15301834     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SIBGRA.2003.1241023     Document Type: Conference Paper

References (12)

1. H. Gomes and R. Fisher. Structural learning from iconic representations. Lecture Notes in Artificial Intelligence, 1952:399-408, 2000. Springer.
2. H. Gomes and R. Fisher. Learning and extracting primal-sketch features in a log-polar image representation. In Proc. of Brazilian Symposium on Computer Graphics and Image Processing, pages 338-345. IEEE Computer Society, 2001.
3. H. Gomes and R. Fisher. Primal sketch feature extraction from a log-polar image. Pattern Recognition Letters, 24:983-992, 2003.
4. T. Grove and R. Fisher. Attention in iconic object matching. In Proc. of British Machine Vision Conference, pages 293-302, 1996.
5. F. Jurie. A new log-polar mapping for space variant imaging: application to face detection and tracking. Pattern Recognition, 32:865-875, 1999.
6. F. Lim, G. West, and S. Venkatesh. Use of log polar space for foveation and feature recognition. IEE Proc. of Vision, Image and Signal Processing, 144(6):323-331, Dec 1997.
7. D. Marr. Vision. W. H. Freeman and Co., 1982.
8. A. Rojer and E. Schwartz. Design considerations for a space-variant visual sensor with complex-logarithmic geometry. In Proc. of Int. Conference on Pattern Recognition, pages 278-285, 1990.
9. G. Sandini and M. Tristarelli. Vision and space-variant sensing. In H. Wechsler, editor, Neural Networks for Perception, volume 1, chapter II.11, pages 398-425. Academic Press, 1992.
10. E. Schwartz. Spatial mapping in primate sensory projection: analytic structure and relevance to perception. Biological Cybernetics, 25:181-194, 1977.
11. Y. Sun and R. Fisher. Object-based visual attention for computer vision. Artificial Intelligence Journal, 146(1):77-123, May 2003.
12. S. Wilson. On the retino-cortical mapping. Int. Journal on Man-Machine Studies, 18:361-389, 1983.