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增强现实中跟踪预测方法的研究 被引量:2

Tracking Prediction Method Based on Augmented Reality
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摘要 为提高增强现实系统中标记跟踪注册的实时性,基于视频帧图像块匹配运动估计方法,通过连续帧间运动相关性预测标记运动方向,在预测方向区域检测标记,降低了全帧检测标记的时间复杂性。基于ARToolKit,验证了本方法可显著提高标记跟踪的时间性能。 For improving the real time of marker tracking registration in the augmented reality,based on the block matching motion estimation of the video frame image,the movement direction and the position of marker were predicted through the moving correlation of consecutive frames.So the method reduces the time complexity while the augmented reality system detects the marker with full frame.The method on the basis of ARToolKit can significantly improve the time performance of tracking the marker.
出处 《河南科技大学学报(自然科学版)》 CAS 北大核心 2013年第2期57-60,3+2,共4页 Journal of Henan University of Science And Technology:Natural Science
基金 国家科技支撑计划子课题基金项目(2011BAH02B04) 北京市自然科学基金项目(4112021) 北京联合大学"启明星"大学生科技创新项目(12205994104)
关键词 增强现实 块匹配 跟踪注册 跟踪预测 augmented reality block matching tracking registration tracking prediction
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  • 1陈靖,王涌天,林亻京.增强现实技术在PDA上的应用[J].光学技术,2007,33(1):52-55. 被引量:7
  • 2常勇,施闯.基于增强现实的空间信息三维可视化及空间分析[J].系统仿真学报,2007,19(9):1991-1995. 被引量:17
  • 3R Azuma. A survey of augmented reality [C]// Computer Graphics, SIGGRAPH Proceedings. USA: ACM, 1995, 8: 1-8.
  • 4Kato H, M Billinghurst. Marker Tracking and HMD Calibration for a Video-based Augmented Reality Conferencing System [C]//2nd IEEE and ACM International Workshop on Augmented Reality (IWAR99). San Francisco, CA. USA: IEEE, 1999.
  • 5MALIK H, ROTH G, MCDONALD C. Robust 2D Tracking for Real-time Augmented Reality [C]// Proceedings of Vision Interface (VI), Calgary, Alberta, Canada, 2002.
  • 6M Fiala. Artag, an improved marker system based on artoolkit. [K]// National Research Council Canada NRC 47166/ERB- 1111, 2004.
  • 7B Lucas, T Kanade. An iterative image registration technique with an application to stereo vision [C]// Proceedings of the International Joint Conference on Artificial Intelligence. Vancouver, Canada, 1981: 674-679.
  • 8Jean-Yves Bouguet. Pyramidal Implementation of the Lucas Kanade Feature Tracker [CP/OL]. (2005-01)[2007-7] http://graphics. stanford. edu/courses/cs448a-00- fall/bouget00. pdf.
  • 9S Baker, I Matthews. Lucas-Kanade 20 years on: A unifying framework: Part 1: The quantity approximated, the warp update rule, and the gradient descent approximation [J]. The International Journal of Computer Vision (S0920-5691), 2004, 56(3 ): 221-255.
  • 10T Ishikawa, I Matthews, S Baker. Efficient image alignment with outlier rejection [R]// Technical Report CMU-RI-TR-02-27. USA: Carnegie Mellon University Robotics Institute, 2002.

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  • 1么键,刘冀伟,韩旭,王志良.基于光流的运动人体提取[J].北京邮电大学学报,2006,29(z2):148-150. 被引量:3
  • 2肖尚彬.四元数方法及其应用[J].力学进展,1993,23(2):249-260. 被引量:43
  • 3何卫华,李平,文玉梅,叶波.复杂背景下基于图像融合的运动目标轮廓提取算法[J].计算机应用,2006,26(1):123-126. 被引量:16
  • 4黎云汉,朱善安,祝磊.基于四元数主成分分析的人脸识别算法[J].信号处理,2007,23(2):214-216. 被引量:6
  • 5Johansson G. Visual Perception of Biological Motion and a Model for Its Analysis [ J ]. Perception Psychophysics, 1973,14 (2) :201 -211.
  • 6Shotton J, Fitzgibbon A, Cook M, et al. Real-time Human Pose Recognition in Parts from Single Depth Images [ C ]// Computer Vision and Pattern Recognition (CVPR) ,2011 IEEE Conference. 2011:1297 - 1304.
  • 7Yamato J ,]un O, Ishii K. Recognizing Human Action in Time-sequential Images Using Hidden Markov Model[ C ]//IEEE Computer Society Conference. 1992:379 -385.
  • 8Weng E J, Fn L C. On-line Human Action Recognition by Combining Joint Tracking and Key Pose Recognition [ C ]// Intelligent Robots and Systems (IROS) ,2012 IEEE/RSJ International Conference. 2012:4112 -4117.
  • 9赵琼,叶豪盛,周学海,等.基于空间时序隐马尔科夫模型的人体三维动作捕捉数据行为识别[C]//第八届中国计算机图形学大会论文集.2010:34-41.
  • 10Li W Q, Zhang Z Y, Liu Z C. Action Recognition Based on a Bag of 3D Points [ C ]//Computer Vision and Pattern Recognition Workshops ( CVPRW ) , 2010 IEEE Computer Society Conference. 2010 : 9 - 14.

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