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Published in:
2010 | OriginalPaper | Chapter
VG-RAM WNN Approach to Monocular Depth Perception
Authors : Hélio Perroni Filho, Alberto F. De Souza
Published in: Neural Information Processing. Models and Applications
Publisher: Springer Berlin Heidelberg
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We have examined Virtual Generalizing Random Access Memory Weightless Neural Networks (VG-RAM WNN) as platform for depth map inference from static monocular images. For that, we have designed, implemented and compared the performance of VG-RAM WNN systems against that of depth estimation systems based on Markov Random Field (MRF) models. While not surpassing the performance of such systems, our results are consistent to theirs, and allow us to infer important features of the human visual cortex.