Intelligent Visual Media Processing: When Graphics Meets Vision

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• 作者：Ming-Ming Cheng ; Qi-Bin Hou ; Song-Hai Zhang…
• 关键词：computer graphics ; computer vision ; survey ; scene understanding ; image manipulation
• 刊名：Journal of Computer Science and Technology
• 出版年：2017
• 出版时间：January 2017
• 年：2017
• 卷：32
• 期：1
• 页码：110-121
• 全文大小：
• 刊物类别：Computer Science
• 刊物主题：Computer Science, general; Software Engineering; Theory of Computation; Data Structures, Cryptology and Information Theory; Artificial Intelligence (incl. Robotics); Information Systems Applications (
• 出版者：Springer US
• ISSN：1860-4749
• 卷排序：32

文摘

The computer graphics and computer vision communities have been working closely together in recent years, and a variety of algorithms and applications have been developed to analyze and manipulate the visual media around us. There are three major driving forces behind this phenomenon: 1) the availability of big data from the Internet has created a demand for dealing with the ever-increasing, vast amount of resources; 2) powerful processing tools, such as deep neural networks, provide effective ways for learning how to deal with heterogeneous visual data; 3) new data capture devices, such as the Kinect, the bridge between algorithms for 2D image understanding and 3D model analysis. These driving forces have emerged only recently, and we believe that the computer graphics and computer vision communities are still in the beginning of their honeymoon phase. In this work we survey recent research on how computer vision techniques benefit computer graphics techniques and vice versa, and cover research on analysis, manipulation, synthesis, and interaction. We also discuss existing problems and suggest possible further research directions.