Computer Vision Metrics

Survey, Taxonomy, and Analysis

Éditeur :

Apress

Paru le : 2014-06-14

Computer Vision Metrics provides an extensive survey and analysis of over 100 current and historical feature description and machine vision methods, with a detailed taxonomy for local, regional and global features. This book provides necessary background to develop intuition about why interest point...
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À propos

Auteur

Éditeur

Collection
n.c

Parution
2014-06-14

Pages
508 pages

EAN papier
9781430259299

Auteur(s) du livre


Scott Krig is a pioneer in computer imaging, computer vision, and graphics visualization. He founded Krig Research in 1988 (krigresearch.com), providing the world’s first imaging and vision systems based onhigh-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, Scott 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.

Caractéristiques détaillées - droits

EAN PDF
9781430259305
Prix
0,00 €
Nombre pages copiables
5
Nombre pages imprimables
50
Taille du fichier
16394 Ko
EAN EPUB
9781430259305
Prix
0,00 €
Nombre pages copiables
5
Nombre pages imprimables
50
Taille du fichier
14438 Ko

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