Synthetic Vision : : Using Volume Learning and Visual DNA / / Scott Krig.

In Synthetic Vision: Using Volume Learning and Visual DNA, a holistic model of the human visual system is developed into a working model in C++, informed by the latest neuroscience, DNN, and computer vision research. The author’s synthetic visual pathway model includes the eye, LGN, visual cortex, a...

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Bibliographic Details
Superior document:Title is part of eBook package: De Gruyter DG Plus DeG Package 2018 Part 1
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Place / Publishing House:Boston ;, Berlin : : De|G Press, , [2018]
©2018
Year of Publication:2018
Language:English
Online Access:
Physical Description:1 online resource (XVIII, 350 p.)
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Table of Contents:
  • Frontmatter
  • About De/G PRESS
  • Acknowledgments
  • Contents
  • Preface
  • Chapter 1: Synthetic Vision Using Volume Learning and Visual DNA
  • Chapter 2: Eye/LGN Model
  • Chapter 3: Memory Model and Visual Cortex
  • Chapter 4: Learning and Reasoning Agents
  • Chapter 5: VGM Platform Overview
  • Chapter 6: Volume Projection Metrics
  • Chapter 7: Color 2D Region Metrics
  • Chapter 8: Shape Metrics
  • Chapter 9: Texture Metrics
  • Chapter 10: Region Glyph Metrics
  • Chapter 11: Applications, Training, Results
  • Chapter 12: Visual Genome Project
  • Bibliography
  • Index