Abstract
The modeling process of convolutional autoencoder unsupervised learning for feature extraction from stereo images sets is provided. The number of learning filters and topology of autoencoder influence on quality of image reconstruction is researched. Autoencoder configurations of high efficiency reconstruction is defined. Figs.: 2. Tabl.: 1. Refs.: 13.Keywords: unsupervised learning, convolutional autoencoder; feature extraction; stereo pair; image reconstruction.
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