A visual object recognition system invariant to scale and rotation

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5163 LNCS, Issue PART 1, 2008, Pages 991-1000

  Sato, Yasuomi D ^a   Jitsev, Jenia ^a   Von Der Malsburg, Christoph ^a  

^a FRANKFURT INSTITUTE FOR ADVANCED STUDIES   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

FEATURE SIMILARITIES; FUNDAMENTAL PROBLEM; INVARIANT OBJECT RECOGNITION; PLAUSIBLE MECHANISMS; SCALE AND ROTATION; SENSORY SIGNALS; VISUAL OBJECT RECOGNITION; VISUAL-PROCESSING;

BACKPROPAGATION; NEURAL NETWORKS; ROTATION; VISUAL COMMUNICATION;

OBJECT RECOGNITION;

EID: 58849094153     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-87536-9_101     Document Type: Conference Paper

References (15)

1. Serre, T., Wolf, L., Bileschi, S., Riesenhuber, M., Poggio, T.: Robust Object Recognition with Cortex-Like Mechanisms. IEEE Transactions on Pattern Analysis and Machine Intelligence 29(3), 411-426 (2007)
2. Rosenblatt, F.: Principles of Neurodynamics: Perceptrons and the Theory of Brain Mechanisms. Spartan Books, Washington (1961)
3. Gabor, D.: Theory of Communication. J. IEE 93, 429-459 (1946)
4. Daugmann, J.G.: Uncertainty relation for resolution in space, spatial frequency, and orientation optimized by two-dimensional visual cortical filters. J. Opt. Soc. Am. A 2, 1160-1169 (1985)
5. Jones, J., Palmer, L.: An evaluation of the two-dimensional Gabor filter model of simple receptive fields in cat striate cortex. J. Neurophysiol. 58, 1233-1258 (1987)
6. Lowe, D.G.: Distinctive Image Features from Scale-Invariant Keypoints. International Journal of Computer Vision 60(2), 91-110 (2004)
7. Arathorn, D.W.: Map-Seeking circuits in Visual Cognition -A Computational Mechanism for Biological and Machine Vision. Standford Univ. Press, Stanford (2002)
8. Serre, T., Kouh, M., Cadieu, C., Knoblich, U., Kreiman, G., Poggio, T.: A Theory of Object Recognition: Computations and Circuits in Feedforwad Path of the Ventral Stream in Primate Visual Cortex. AI Memo 2005-036/CBCL Memo 259. Massachusetts Inst. of Technology, Cambridge (2005)
9. Sato, Y.D., Wolff, C., Wolfrum, P., von der Malsburg, C.: Dynamic Link Matching between Feature Columns for Different Scale and Orientation. In: Ishikawa, M., Doya, K., Miyamoto, H., Yamakawa, T. (eds.) ICONIP 2007, Part I. LNCS, vol. 4984, pp. 385-394. Springer, Heidelberg (2008)
10. Jitsev, J., Sato, Y.D., von der Malsburg, C.: A Neural System for Scale and Orientation Invariant Correspondence Finding. In: Proc. COSYNE 2008, Salt Lake City, Utah, USA (2008)
11. von der Malsburg, C.: Dynamic Link Architecture. In: The handbook of brain theory and neural networks, pp. 329-331. MIT Press, Cambridge (1998)
12. Wiskott, L., Fellous, J.-M., Krüger, N., von der Malsburg, C: Face recognition by elastic bunch graph matching. IEEE Transactions on Pattern Analysis and Machine Intelligence 19(7), 775-779 (1997)
13. Lücke, J., von der Malsburg, C.: Rapid Correspondence Finding in Networks of Cortical Columns. In: Kollias, S.D., Stafylopatis, A., Duch, W., Oja, E. (eds.) ICANN 2006. LNCS, vol. 4131, pp. 668-677. Springer, Heidelberg (2006)
14. Freedman, D.J., Riesenhuber, M., Poggio, T., Miller, E.K.: Categorical representation of visual stimuli in the primate prefrontal cortex. Science 291, 312-316 (2001)
15. Freedman, D.J., Riesenhuber, M., Poggio, T., Miller, E.K.: Visual categorization and the primate prefrontal cortex: Neurophysiology and behavior. J. Neurophys. 88, 930-942 (2002)