We investigate if a deep Convolutional Neural Network can learn representations of local image patches that are usable in the important task of keypoint matching. We examine several possible loss functions for this correspondance task and show emprically that a newly suggested loss formulation allows a Convolutional Neural Network to find compact local image descriptors that perform comparably to state-of-the-art approaches. © Springer-Verlag 2013.
CITATION STYLE
Osendorfer, C., Bayer, J., Urban, S., & Van Der Smagt, P. (2013). Convolutional Neural Networks learn compact local image descriptors. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8228 LNCS, pp. 624–630). https://doi.org/10.1007/978-3-642-42051-1_77
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