Overview
- Presents the latest applications of Computer Vision and AI, including Transformers, DNNs, etc.
- Reviews historical, state-of-the art and forward-looking Computer Vision AI methods
- Provides over 1,200 references, offering a valuable resource for scientists and engineers alike
Buy print copy
Tax calculation will be finalised at checkout
About this book
As before, a historical survey of advances in Computer Vision is provided, updated to reflect the latest methods such as Vision Transformers, attention models, alternative features such as Fourier neurons and Binary neurons, hybrid DNN architectures, self-supervised and enhanced learning models, Associative Multimodal Learning, Continuous Learning, View Synthesis, intelligent Scientific Imaging, andadvances in training protocols. Updates have also been added for 2d/3d cameras, software libraries and open source resources, computer vision cloud services, and vision/AI hardware accelerators. Discussion and analysis are provided to uncover intuition and delve into the essence of key advancements, applied and forward-looking topics.
Keywords
- Computer vision
- Image processing
- Computational imaging
- 3D reconstruction
- Vision Transformer
- Feature learning
- Feature descriptors
- 2D Transformer
- Deep learning
- Neural networks
- Deep neural networks
- Computational neuroscience
- Convolutional neural networks
- DNN
- CNN
Authors and Affiliations
About the author
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 hardware, with optimized computer vision and imaging software libraries for a wide range of applications, serving customers in 25 countries around the globe. Scott is also the author of Synthetic Vision Using Volume Learning and Visual DNA, which presents a multi-dimensional and multivariate feature learning approach to computer vision, intended as the basis for a public Visual Genome Project to catalog all (or nearly all) visual features composing visual objects. Scott studied at Stanford and is the author of patent applications worldwide in various fields, including imaging, computer vision, embedded systems, DRM and computer security.
Bibliographic Information
Book Title: Computer Vision Metrics
Book Subtitle: Survey, Taxonomy, and Analysis of Computer Vision, Visual Neuroscience, and Visual AI
Authors: Scott Krig
Publisher: Springer Singapore
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024
Hardcover ISBN: 978-981-99-3392-1Due: 07 July 2024
Softcover ISBN: 978-981-99-3395-2Due: 07 July 2024
eBook ISBN: 978-981-99-3393-8Due: 07 July 2024
Edition Number: 2
Number of Pages: XXVI, 761
Number of Illustrations: 1 b/w illustrations