Abstract
We here propose a simple but highly potential algorithm to detect a model object’s position on an input image by determining the initially unknown transformational states of the model object, in particular, size and 2D-rotation. In this algorithm, a single feature is extracted around or at the center of the input image through 2D-Gabor wavelet transformation, in order to find not only the most likely relative size and rotation to the model object, but also the most appropriate positional region on the input image for detecting the correct relative transformational states. We also show the reliable function on the face images of different persons, or of different appearance in the same person.
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References
Wolfrum, P., von der Malsburg, C.: What is the optimal architecture for visual information routing? Neural Computation 19(12), 3293–3309 (2007)
Wiskott, L., von der Malsburg, C.: Face Recognition by Dynamic Link Matching. In: Sirosh, J., Miikkulainen, R., Choe, Y. (eds.) Lateral Interactions in the Cortex: Structure and Function, vol. 11 (1996)
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)
Okada, K., Steffens, J., Maurer, T., Hong, H., Elagin, E., Neven, H., von der Malsburg, C.: The Bochum/USC Face Recognition System and How it Fared in the FERET Phase III Test. In: Wechsler, H., Phillips, P.J., Bruce, V., Fogelman Soulifie, F., Huang, T.S. (eds.) Face Recognition: From Theory to Applications, pp. 186–205. Springer, Heidelberg (1998)
Hummel, J., Biederman, I.: Dynamic binding in a neural network for shape recognition. Psychological Review 99(3), 480–517 (1992)
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Sato, Y.D., Jitsev, J., von der Malsburg, C. (2010). Visual Object Detection by Specifying the Scale and Rotation Transformations. In: Wong, K.W., Mendis, B.S.U., Bouzerdoum, A. (eds) Neural Information Processing. Models and Applications. ICONIP 2010. Lecture Notes in Computer Science, vol 6444. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17534-3_76
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DOI: https://doi.org/10.1007/978-3-642-17534-3_76
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