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基于Kinect的食品检测虚拟仿真实验研究

Research on Virtual Simulation Experiment of Food Detection Based on Kinect Sensor
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摘要 为减少传统的食品检测教学实验中成本高、资源浪费以及普通虚拟实验平台在人机交互中的限制等问题,通过对Ki-nect体感设备中的手势识别、语音识别、骨骼追踪进行深入研究,设计一个可跨平台的食品检测虚拟仿真实验,以期达到降低传统的食品检测实验成本和减少资源浪费,解决虚拟仿真实验在人机交互中的限制,为增强实验的真实感、沉浸感,达到较好的实验教学效果提供方法策略。 In order to reduce the high cost of food inspection,experiments in the traditional teaching of the waste of resources and common virtual experiment platform in human-computer interaction constraints and other issues,through in-depth study of Kinect somatosensory equipment in gesture recognition,speech recognition,skeletal tracking,design a cross platform food testing virtual simulation experiment,in order to reduce the cost of traditional food detection and reduce the waste of resources,solve the problem of virtual simulation experiment in human-computer interaction,to increase the reality and immersive experiments,provide a method to achieve better effect of experimental teaching strategies.
作者 朱荣 刘华 张俊 ZHU Rong;LIU Hua;ZHANG Jun(Department of Information Science,Xinhua College,Sun Yan-Sen University,Guangzhou 510520;Department of Logistics,Guangzhou College of Technology and Business,Guangzhou 510850)
出处 《现代计算机》 2018年第13期61-64,共4页 Modern Computer
基金 广东省普通高校青年创新人才(自然科学类)项目(No.2014KQNCX238)
关键词 体感交互 三维重构 手势识别 语音识别 骨骼追踪 Somatosensory Interaction 3D Reconstruction Gesture Recognition Speech Recognition Skeletal Tracking
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  • 1董士海,王坚,戴国忠.人机交互与多通道用户界面[M].北京:科学出版社,1999. 被引量:4
  • 2Engelhard N, Endres F, Hess J, Sturm J, Burgard W. Real-time 3D visual SLAM with a hand-held RGB-D camera. In: Proceedings of the 2011 RGB-D Workshop on 3D Perception in Robotics at the European Robotics Forum. V?steras, Sweden: Robotdalen, 2011. 被引量:1
  • 3Henry P, Krainin M, Herbst E, Ren X, Fox D. RGB-D mapping: using depth cameras for dense 3D modeling of indoor environments. In: Proceedings of the 12th International Symposium on Experimental Robotics. Delhi, India: IEEE, 2010. 被引量:1
  • 4Du H, Henry P, Ren X F, Cheng M, Goldman D B, Seitz S M, Fox D. Interactive 3D modeling of indoor environments with a consumer depth camera. In: Proceedings of the 13th International Conference on Ubiquitous Computing. Beijing, China: IEEE, 2011. 75-84. 被引量:1
  • 5Izadi S, Newcombe R A, Kim D, Hilliges O, Molyneaux D, Hodges S, Kohli P, Davison A, Fitzgibbon A. KinectFusion: real-time dynamic 3D surface reconstruction and interaction. In: Proceedings of the 2011 International Conference on Computer Graphics and Interactive Techniques. Vancouver, Canada: ACM, 2011. 被引量:1
  • 6Izadi S, Kim D, Hilliges O, Molyneaux D, Newcombe R, Kohli P, Shotton J, Hodges S, Freeman D, Davison A, Fitzgibbon A. KinectFusion: real-time 3D reconstruction and interaction using a moving depth camera. In: Proceedings of the 2011 Annual ACM Symposium on User Interface Software and Technology. Santa Barbara, CA: ACM, 2011. 559-568. 被引量:1
  • 7Tong J, Zhou J, Liu L G, Pan Z G, Yan H. Scanning 3D full human bodies using Kinects. IEEE Transactions on Visualization and Computer Graphics, 2012, 18(4): 643-650. 被引量:1
  • 8Bay H, Ess A, Tuytelaars T, van Gool L. Speeded-up robust features (SURF). Computer Vision and Image Understanding, 2008, 110(3): 346-359. 被引量:1
  • 9Besl P J, McKay H D. A method for registration of 3-d shapes. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1992, 14(2): 239-256. 被引量:1
  • 10Konolige K, Mihelich P. Technical description of Kinect calibration [Online], available: http://www.ros.org/wiki/ kinect_calibration/technical, November 3, 2011. 被引量:1

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