Computer Vision: Statistical Models for Marr's Paradigm

This book provides a comprehensive mathematical framework for understanding vision, integrating three regimes of models and covering topics such as visual coding, recognition, and cognition. It is a tribute to pioneers in vision research and aims to inspire further exploration in the field.

Format: Hardback
Length: 357 pages
Publication date: 16 March 2023
Publisher: Springer Nature Switzerland AG

This remarkable book, serving as the inaugural installment of a captivating three-part series, stands as a heartfelt tribute to vision pioneers who have left an indelible mark on the field. Among these distinguished individuals are Béla Julesz, David Marr, King-Sun Fu, Ulf Grenander, and David Mumford. The authors' profound aspiration is to offer a solid foundation, while also igniting a flame of inspiration for future endeavors in vision research.

Spanning an impressive 130% to 150% more words, this comprehensive volume delves into the intricate realm of David Marr's paradigm and explores a diverse array of underlying statistical models that shape our understanding of vision. The mathematical framework presented herein seamlessly integrates three distinct regimes of models, encompassing low-, mid-, and high-entropy regimes, providing a robust foundation for groundbreaking studies in visual coding, recognition, and cognition.

Concepts are carefully elucidated to facilitate a deep comprehension, backed by compelling findings from psychology and neuroscience. These insights are then reinforced by statistical models and associated learning and inference algorithms, solidifying the theoretical framework. As a reader embarks on this captivating journey, they will acquire a holistic and interdisciplinary perspective on vision research, traversing the realms of psychology, neuroscience, and statistics.

This extraordinary book is a testament to the tireless dedication and collective wisdom of vision pioneers, and it serves as a beacon of hope for those who seek to unravel the mysteries of human perception and cognition. Prepare to be captivated by the rich tapestry of knowledge unveiled within its pages, as you embark on a journey that transcends boundaries and expands the frontiers of human understanding.

Weight: 724g
Dimension: 164 x 241 x 28 (mm)
ISBN-13: 9783030965297
Edition number: 1st ed. 2023