Abstract
The work presented is part of a larger effort to build a general object recognition system. Objects as well as human faces are represented by graphs labeled with Gabor filter responses. We describe an optimal method to reconstruct images from such graphs. Two examples of how this can be used to analyze the object representation or to compensate for its deficiencies are presented. Since the reconstruction method is formulated generally for an arbitray set of linear filters, it can also be applied to data produced by other systems, artificial or biological.
Supported by the German Federal Ministry of Science and Technology
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© 1996 Springer-Verlag Berlin Heidelberg
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Pötzsch, M., Maurer, T., Wiskott, L., v. d. Malsburg, C. (1996). Reconstruction from graphs labeled with responses of Gabor filters. In: von der Malsburg, C., von Seelen, W., Vorbrüggen, J.C., Sendhoff, B. (eds) Artificial Neural Networks — ICANN 96. ICANN 1996. Lecture Notes in Computer Science, vol 1112. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-61510-5_142
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DOI: https://doi.org/10.1007/3-540-61510-5_142
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