@inproceedings{865d3ebe7e414444badb3bd865ac4a5d,
title = "Comparison of view-based object recognition algorithms using realistic 3D models",
abstract = "Two view-based object recognition algorithms are compared: (1) a heuristic algorithm based on oriented filters, and (2) a support vector learning machine trained on low-resolution images of the objects. Classification performance is assessed using a high mlmber of images generated by a computer graphics system under precisely controlled conditions. Training- and test-images show a set of 25 realistic three-dimensional models of chairs from viewing directions spread over the upper half of the viewing sphere. The percentage of correct identification of all 25 objects is measured.",
author = "V. Blanz and B. Sch{\"o}lkopf and H. B{\"u}lthoff and C. Burges and V. Vapnik and T. Vetter",
year = "1996",
doi = "10.1007/3-540-61510-5_45",
language = "English",
isbn = "3540615105",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "251--256",
booktitle = "Artificial Neural Networks, ICANN 1996 - 1996 International Conference, Proceedings",
note = "1996 International Conference on Artificial Neural Networks, ICANN 1996 ; Conference date: 16-07-1996 Through 19-07-1996",
}