期刊文献+

基于手形交互与掌纹识别的增强现实应用 被引量:4

Augmented reality application based on hand shape interaction and palmprint recognition
下载PDF
导出
摘要 针对现有增强现实系统交互方式的不足,提出并实现了一种基于手形交互与掌纹识别的增强现实应用。提出了一种用于快速识别手形轮廓及其运动轮廓的匹配方法。利用一种改进的快速蚁群聚类算法来获取掌形的中心,建立相关的渲染坐标系,从而精确注册虚拟物体。同时,针对个性化应用需求,提出了一种能够在增强现实系统中应用的Harris快速掌纹识别算法。实验表明,识别算法具有较好的跟踪精度和实时性,能够满足增强现实系统的应用要求。 This paper proposed and implemented an Augmented Reality (AR) system based on hand shape interaction and palmprint recognition. The paper proposed a novel fast identification method of hand contour for contour matching and its movement. This system used an improved ant colony clustering algorithm to get hand center quickly, established relevant rendering system, and registered the virtual object. Meanwhile, for personalized applications, the paper proposed fast Harris palmprint identification algorithm applied in augmented reality. Experiments show that the new algorithm has good recognition precision and real-time tracking performance, and can adapt to the application requirements of augmenting reality systems.
出处 《计算机应用》 CSCD 北大核心 2009年第8期2083-2086,共4页 journal of Computer Applications
基金 国家科技支撑计划(2006BAK13B10) 上海市重点学科建设资助项目(J50103)
关键词 增强现实 蚁群聚类 手形识别 掌纹识别 运动物体匹配 augmented reality ant colony clustering hand shape recognition palmprint recognition moving object matching
  • 相关文献

参考文献4

二级参考文献24

  • 1明德烈,柳健,田金文.仿射变换在增强现实中的应用[J].系统仿真学报,2001,13(S2):286-289. 被引量:8
  • 2J. Deutscher, A. Blake, and I. Reid. Articulated body motion capture by annealed particle .9 ltering. In Proc.IEEE Conf. on Computer Vision and Pattern Recognition, volume Ⅱ, pages 126 - 133, Hilton Head Island,South Carolina, 2000.
  • 3T. Heapand D. Hogg. Towards 3D hand tracking using a deformable model. In Proc. of IEEE Int'l Conf. Automatic Face and Gesture Recognition, pages 140 145, Killington, VT, 1996.
  • 4J. Lee and T. Kunii. Model-based analysis of hand posture. IEEE Computer Graphics and Applications, 15 : 7786, Sept. 1995.
  • 5Y. Wu, J. Lin, and T. S. Huang. Capturing natural hand articulation. In Proc. of IEEE Int'l Conf. Computer Vision, volume Ⅱ, pages 426 432, 2001. [8] J. Segenand S. Kumar. Shadow gesture: 3d hand pose estimation using a single camera. In Proc. IEEE Conf. on Computer Vision and Pattern Recognition, pages 479 - 485,1999.
  • 6N. Shimada, Y. Shirai, Y. Kuno, and J. Miura. Hand gesture estimation and model re? nement using monocular camera ambiguity limitation by inequality constraints. In Proc. of the 3rd Conf. on Face and Gesture Recognition, pages 268 - 273, 1998.
  • 7J Deutscher, A Blake, and I Reid. Articulated body motion capture by annealed particle .9 ltering. In Proc IEEE Conf on Computer Vision and Pattern Recogni-ion, volume Ⅱ, pages 126 - 133, Hilton Head Island,South Carolina, 2000.
  • 8T Heapand D Hogg. Towards 3D hand tracking using a deformable model. In Proc of IEEE Int'l Conf Automatic Face and Gesture Recognition, pages 140 145, Killington, VT, 1996.
  • 9J Lee and T Kunii. Model-based analysis of hand posture. IEEE Computer Graphics and Applications, 15 : 7786, Sept. 1995.
  • 10Y Wu, J Lin, and T S Huang .Capturing natural hand articulation. In Proc of IEEE Int'l Conf Computer Vision, volume Ⅱ, pages 426 432, 2001. [8] J. Segen and S Kumar. Shadow gesture: 3d hand pose estimationusing a single camera. In Proc IEEE Conf on Computer Vision and Pattern Recognition, pages 479 - 485,1999.

共引文献16

同被引文献32

  • 1魏迎梅,王涌,吴泉源,石教英.碰撞检测中的层次包围盒方法[J].计算机应用,2000,20(S1):241-244. 被引量:38
  • 2朱淼良,姚远,蒋云良.增强现实综述[J].中国图象图形学报(A辑),2004,9(7):767-774. 被引量:204
  • 3陶俊伟,姜威.改进的基于二维主分量分析的掌纹识别[J].光学技术,2007,33(2):283-286. 被引量:12
  • 4CHENB F, LOU B L, WANGYZH, et al. Abiomet- rics method on facial and features [ J ]. Computer Sci- ence, 2005,32(8) :189-191.
  • 5JAIN A K, BOLLE R, PAMKANTI S. Biometrics : Per- sonal identification in networked society[ M ]. Kluwer Ac- ademic Publishers, 1999.
  • 6CHANG K, BOWYER K W, SARKAR S, et al. Com- parison and combination of ear and face images in appear- ance-based biometrics [J]. IEEE Transaction on Pattern Analysis and Machine Intelligence, 2003, 25 ( 9 ) : 1160-1165.
  • 7WEI X, TOH K A, YAU W Y,et al. Model-guided de- formable hand shape recognition without positioning aids [ J ]. Pattern Recognition, 2005 (38) : 1651-1664.
  • 8WOODARD D L. Exploiting finger surface as a biometric identifier [ D ]. USA: The University of Notre Dame, 2004.
  • 9BULATOV Y, JAMBAWALIKAR S, KUMAR P, et al. Hand recognition using geometric classifiers [ C ]. The DIMACS workshop on Computational Geometry, Rutgers University, Discataway, NJ, 2002: 753-759.
  • 10SANCHEZ-REILLO R. Hand geometry pattern recogni- tion through Gaussian mixture modeling [ C ]. Proceed- ings of the International Conference on Pattern Recogni- tion, USA: IEEE, 2000:837-940.

引证文献4

二级引证文献36

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部