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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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