Computer Vision Metrics: Textbook Edition

Author:   Scott Krig
Publisher:   Springer International Publishing AG
Edition:   1st ed. 2016
ISBN:  

9783319337616


Pages:   637
Publication Date:   04 October 2016
Replaced By:   9789819933921
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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Computer Vision Metrics: Textbook Edition


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Author:   Scott Krig
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   1st ed. 2016
Dimensions:   Width: 17.80cm , Height: 3.50cm , Length: 25.40cm
Weight:   1.889kg
ISBN:  

9783319337616


ISBN 10:   3319337610
Pages:   637
Publication Date:   04 October 2016
Audience:   College/higher education ,  Tertiary & Higher Education
Replaced By:   9789819933921
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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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 andcomputer 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.   

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