New York, NY (PRWEB) June 04, 2014
One of the most exciting frontiers being explored in the digital age, computer vision is rapidly changing the way society produces and consumes visual media. Current literature on the subject covers the range of “how-to” source code, tutorial discussions, performance analysis and other instructional material. The new book “Computer Vision Metrics: Survey, Taxonomy, and Analysis”—published by Apress Media in partnership with Intel—carves out new ground in the existing literature and provides a technical tour through this fascinating field.
Author Scott Krig has three decades of experience in computer vision, imaging, and graphics visualization across numerous industries. In 1998 he founded Krig Research, providing the world’s first imaging and computer vision systems based on high-performance engineering workstations, super-computers, and dedicated imaging hardware. 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, and other fields.
Eschewing the mold of another “how-to” guide, Krig provides a counterpoint to prevailing resources, including a comprehensive survey, analysis, and taxonomy of computer vision methods. The book focuses on the view of feature description metrics, or how to describe, compute, and design the macro-features and micro-features that make up larger objects in images. The emphasis is on the pixel-side of the vision pipeline, with a light introduction to the back-end training, classification, machine learning, and matching stages. Extensive illustrations are included and more than 540 references to existing resources are provided in the comprehensive bibliography. “Computer Vision Metrics” is aimed at a wide range of readers, including technically-minded readers already familiar with computer vision and image processing. However, even those new to the subject will find helpful introductions to the key concepts at a high level.
“This book is like an attempt to draw a map of the world centered around feature metrics, incomplete as the map may be, with the hope that others will be inspired to expand the level of detail in their own way,” Krig explains. Written for engineers, scientists, and academic researchers in the myriad areas related to imaging, “Computer Vision Metrics” is a valuable addition to the technical literature of this exciting domain.
Thanks to the open access publishing partnership between Apress and Intel, the eBook version of “Computer Vision Metrics” is freely available to download and share under the ApressOpen program. For more information about the book, please visit http://www.apress.com/9781430259299.
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 imaging and vision systems based on high-performance engineering workstations, super-computers, and dedicated imaging hardware. Scott has provided imaging and vision solutions around the globe, and has worked closely with many industries. 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, and other fields.
About Apress Media
With more than 1,500 books in print and e-formats, Apress is the authoritative source for IT professionals, software developers, and business leaders all over the world. Apress provides high-quality, no-fluff content that helps serious technology professionals build a comprehensive pathway to career success. Since 2007, Apress has been part of Springer Science+Business Media, one of the world's leading scientific, technical, and medical publishing houses, enabling global distribution of Apress publications. For more information, please visit http://www.apress.com.
ApressOpen is the world’s most effective distribution platform for eBooks. Through ApressOpen, thought leaders in technology communities can share unique learning resources with readers around the world through free distribution of digital content. For more information, contact apressopen(at)apress(dot)com.