Journal of Frontiers of Computer Science and Technology ›› 2011, Vol. 5 ›› Issue (6): 481-492.

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Depth Camera in Computer Vision and Computer Graphics: An Overview

XIANG Xueqin, PAN Zhigeng, TONG Jing   

  1. State Key Lab of Computer Aided Design and Computer Graphics, Zhejiang University, Hangzhou 310058, China
  • Online:2011-06-01 Published:2011-06-01


向学勤, 潘志庚, 童 晶   

  1. 浙江大学 计算机辅助设计与图形学国家重点实验室, 杭州 310058

Abstract: An increasing number of applications depend on accurate and fast 3D scene analysis, such as geometry reconstruction, collision prevention, mixed reality, and gesture recognition. The acquisition of a range map by image- based analysis or laser scan techniques is still time-consuming and expensive. Emerged as an alternative device to measure distance, depth camera enjoys some advances, e.g., lower price and higher photo speed, that have not be made in traditional 3D measuring systems. Recently, significant improvements have been made in order to achieve low-cost and compact depth camera devices that have the potential to revolutionize many fields of research, including computer vision, computer graphics and human computer interaction (HCI). These technologies are also starting to attract many researchers working for academic or commercial purposes. This paper gives an overview of recent developments in depth camera technology and discusses the current state of the integration of this technology into various related applications in computer vision and computer graphics.

Key words: depth camera, computer vision, computer graphics

摘要: 越来越多的应用如几何重建、碰撞检测、混合现实、手势识别等, 都依赖于对三维场景准确且快速的分析。通过基于图像的分析或者激光扫描技术来获取场景的深度图, 其代价高昂且十分耗时。作为距离测量中一种可替代的设备, 深度相机拥有传统的三维测量系统所不具备的一些优点, 如较低的价格以及较高的拍摄速度等。最近出现了一些小巧低廉的深度相机设备, 这将给计算机视觉、计算机图形学、人机交互等领域带来一系列革命性的变化, 吸引了众多研究者的关注。对深度相机最新发展情况进行了介绍, 并报告了深度相机在计算机视觉、计算机图形学中的应用现状。

关键词: 深度相机, 计算机视觉, 计算机图形学