- A basic introduction to the concept of synthetic vision
- C++ programs that can be adapted to a wide variety of vision applications
- How to code for applications of the concept
Aims and Scope
Synthetic vision is a next-generation holistic model of the human visual system.The book includes illustrated open-source code making computer vision applications easy to apply, and allowing educators and engineers to download the code and learn hands-on about "synthetic" vision. This book is designed to enable users to experiment with the code written in C++ for their own vision-related applications. Sufficient coding will be provided so that users can emulate that to meet the needs of their project.
Scott Krig is a pioneer in computer imaging, computer vision, and graphics visualization. He founded Krig Research in 1988, providing the world's first image and vision systems based on high-performance engineering workstations, super-computers, and dedicated imaging hardware, serving customers worldwide in 25 countries. Scott has provided imaging and vision solutions around the globe, and has worked closely with many industries including aerospace, military, intelligence, law enforcement, government research, and academic organizations. More recently, Scott has worked for major corporations and startups serving commercial markets, solving problems in the areas of computer vision, imaging, graphics, visualization, robotics, process control, industrial automation, computer security, cryptography, and consumer applications of imaging and machine vision to PCs, laptops, mobile phones, and tablets. Most recently, he provided direction for Intel Corporation in the area of depth-sensing and computer vision methods for embedded systems and mobile platforms. Scott is the author of many patent applications worldwide in the areas of embedded systems, imaging, computer vision, DRM, and computer security, and studied at Stanford.
- Approx. xv, 285 pages
- Type of Publication:
- Computer Vision, Synthetic Vision, Computer Imaging, Visualization, Sensor, Image Processing