Augmented Vision Perception in Infrared: Algorithms and Applied Systems (Advances in Computer Vision and Pattern Recognition) - Tapa blanda

Críticas

From the reviews:

"It is in this context that the current text--a collection of research papers on cutting-edge infrared technology applications and processing--is most welcome. ... The book contains 18 chapters divided into seven parts. Impressively, a multitude of figures and pictures populate the entire text. These serve to make each chapter easier to comprehend. ... These 18 chapters augment the research of visual perception in infrared imaging. They represent the serious research that is currently being conducted in this field." (Minette Carl, ACM Computing Reviews, July, 2009)

“‘A comprehensive review of recent deployment of infrared sensors in modern applications of computer vision, along with in-depth description of the world’s best machine vision algorithms and intelligent analytics’. ... There are some very instructive chapters that could be taught in an advanced graduate course. ... chapters are accessible to readers of all levels ... and some proposals provide details of very specific as well as complex methodologies.” (Antonio Fernández Caballero, International Association for Pattern Recognition, Vol. 32 (3), July, 2010)

Reseña del editor

This practical text offers researchers and software engineers a thorough understanding of how core low-level building blocks of machine perception systems are implemented. It includes in-depth coverage of state-of-the-art perception algorithms and experiments.