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Advances in Computer Vision

Proceedings of the 2019 Computer Vision Conference (CVC), Volume 2

Kohei Arai (Hrsg.), Supriya Kapoor (Hrsg.)

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ca. 149,79
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Springer International Publishing img Link Publisher

Naturwissenschaften, Medizin, Informatik, Technik / Allgemeines, Lexika

Beschreibung

This book presents a remarkable collection of chapters covering a wide range of topics in the areas of Computer Vision, both from theoretical and application perspectives. It gathers the proceedings of the Computer Vision Conference (CVC 2019), held in Las Vegas, USA from May 2 to 3, 2019. The conference attracted a total of 371 submissions from pioneering researchers, scientists, industrial engineers, and students all around the world. These submissions underwent a double-blind peer review process, after which 118 (including 7 poster papers) were selected for inclusion in these proceedings.

The book’s goal is to reflect the intellectual breadth and depth of current research on computer vision, from classical to intelligent scope. Accordingly, its respective chapters address state-of-the-art intelligent methods and techniques for solving real-world problems, while also outlining future research directions. Topic areas covered include Machine Vision and Learning, Data Science,Image Processing, Deep Learning, and Computer Vision Applications.

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Schlagwörter

Support Vector Machines, Neural Networks, Computer Vision Algorithms, Pattern Recognition, CVC, 3D Computer Vision, SAI, Affective Computing, Deep Learning for Vision, Artificial Intelligence, CVC2018, Optimization Methods, Soft Computing