A Dynamic and Multiresolution Model of Visual Attention and Its Application to Facial Landmark Detection

Computer Vision and Image Understanding

Volumn 70, Issue 1, 1998, Pages 63-73

  Takács, Barnabás ^a   Wechsler, Harry ^b  

^a Virtual Celebrity Productions   (United States)

^b George Mason University   (United States)

Author keywords

Attention; Face recognition; Low level vision

Indexed keywords

COMPUTER SIMULATION; SIGNAL FILTERING AND PREDICTION;

FACIAL LANDMARK DETECTION; GAUSSIAN FILTERS; VISUAL SACCADES;

PATTERN RECOGNITION;

EID: 0032047691     PISSN: 10773142     EISSN: None     Source Type: Journal    
DOI: 10.1006/cviu.1998.0619     Document Type: Article

References (22)

1. A. Allport, Visual attention, in Foundations of Cognitive Science (E. Posner, Ed.), MIT Press, Cambridge, MA, 1989.
2. R. Bajcsy, Active perception vs. passive perception, Proc. 3rd IEEE Workshop on Computer Vision, 1985.
3. D. Ballard, Animate vision, Art. Intell. J. 48, 1991, 57-86.
4. M. Bolduc, G. Sela, and M. Levine, Fast computation of multiscalar symmetry in foveated images, in Int. Workshop on Computer Architectures for Machiner Perception, Como, Italy, 1995.
5. K. R. Cave and J. M. Wolfe, Modeling the role of parallel processing in visual search, Cognitive Psych. 22, 1990, 225-271.
6. R. Chellappa, C. L. Wilson, and S. Sirohey, Human and machine recognition of faces: A survey, Proc, IEEE 83(5), 1995.
7. S. M. Culhane and J. K. Tsotsos, An attentional prototype for early vision, in Proceedings of the 2nd European Conference on Computer Vision, Santa Margherita Ligure, Italy, 1992.
8. M. Gröner, F. Walder, and J. Gröner, Looking at faces: Local and global aspects of scanpaths, in Theoretical and Applied Aspects of Eye Movement Research (Gale and Johnson, Eds.), Elsevier, Amsterdam, 1984.
9. S. Gutta, J. Huang, D. Singh, I. Shah, B. Takács, and H. Wechsler, Benchmark studies on face recognition, in Proceedings of International Workshop on Automatic Face and Gesture Recognition (IWAFGR), Zürich, Switzerland, 1995.
10. M. Jagerstrand, Saliency maps and attention selection in scale and spatial coordinates: An information theoretic approach, in Int. Conf. on Computer Vision, Boston, MA, 1995.
11. C. Koch and S. Ullman, Shifts in selective visual attention: Towards the underlying neural circuitry, in Matters of Intelligence (Vaina, Ed.), Rediel, Dordrecht, 1987.
12. I. Marsic, Data-driven shifts of attention in wavelet scale space, IEEE Trans. Pattern Anal. Machine Intell., submitted.
13. R. Milanese, et al., Integration of bottom-up and top-down cues for visual attention, in Proceedings of CVPR, Seattle, WA, 1994.
14. B. A. Olshausen, C. H. Anderson and D. C. Van Essen, A multiscale dynamic routing circuit for forming size and position invariant object representation, J. Comput. Neurosci., to appear.
15. B. Takács and H. Wechsler, Face location using a dynamic model of retinal feature extraction, in Proceedings of International Workshop on Automatic Face and Gesture Recognition (IWAFGR), Zürich, Switzerland, 1995.
16. B. Takács and H. Wechsler, Attention and pattern detection using sensory and reactive control mechanisms, in International Conference on Pattern Recognition (ICPR), Vienna, Austria, 1996.
17. B. Takács and H. Wechsler, Geometric modeling methods for facial landmark detection and recognition, in Interface '96 Graph-Image-Vision, Sydney, Australia, 1996.
18. B. Takács and H. Wechsler, Detection of faces and facial landmarks using retinal filter banks, Pattern Recognition 30(10), 1997, 1623-36.
19. B. Takács and H. Wechsler, A saccadic vision system for landmark detection and face recognition, in Proc. NATO Advanced Study Institute: Face Recognition, Stirling, UK, 1997.
20. J. K. Tsotsos, Analyzing vision at the complexity level, Behav. Brain Sci. 3(3), 1990, 423-469.
21. T. Uhlin and J. O. Eklundh, Animate vision in a rich environment, in Int. Joint Conf. on Artificial Intelligence, Montreal, Canada, 1995.
22. S. W. Wilson, On the retino-cortical mapping, Int. J. Man Machine Stud. 18, 1983, 361-389.