VG-RAM WNN Approach to Monocular Depth Perception

  • Hélio Perroni Filho
  • Alberto F. De Souza
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6444)


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.


Monocular depth perception weightless neural networks 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Hélio Perroni Filho
    • 1
  • Alberto F. De Souza
    • 1
  1. 1.Laboratório de Computação de Alto DesempenhoUniversidade Federal do Espírito SantoVitória-ESBrazil

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