Capture data processing based on human eye's resolution

被引:0
|
作者
Zhou, Xiangning [1 ]
机构
[1] Shandong Univ, Key Lab Intelligent Proc, Shandong Inst Business & Technol, Jinan, Peoples R China
关键词
motion capture; data processing; human eye's resolution;
D O I
10.1117/12.949514
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
With motion capture system to improve the frequency of data capture, a large number of redundant data will be produced. This paper based on the resolution of the human eye, uses the sensors as little as possible to capture the movement data in the skeletal animation technology. Then based on three-dimensional virtual human model, more lifelike movement details such as the surface of the skin will be generate. So that, we can achieve already describe the motion process of virtual people generally, and embodies the virtual people movement details high fidelity.
引用
收藏
页数:4
相关论文
共 50 条
  • [21] IMAGE-PROCESSING BY THE HUMAN EYE
    THIBOS, LN
    VISUAL COMMUNICATIONS AND IMAGE PROCESSING IV, PTS 1-3, 1989, 1199 : 1148 - 1153
  • [22] Review of techniques for motion capture data processing
    Wei Xiaopeng 1)
    Computer Aided Drafting,Design and Manufacturing, 2012, (01) : 1 - 11
  • [23] A theoretical model of the human eye based on ultrasound and corneal data
    Falhar, Martin
    Rehak, Jiri
    OPTICA APPLICATA, 2009, 39 (01) : 195 - 210
  • [24] High resolution processing method of seismic data based on attenuation compensation
    Zhao, Y., 1600, Science Press, 16 Donghuangchenggen North Street, Beijing, 100717, China (53):
  • [25] Image processing with video capture for eye movement measurement and its application to eye control system
    Itoh, Kazuyuki
    Ifukube, Tohru
    ELECTRONICS AND COMMUNICATIONS IN JAPAN PART II-ELECTRONICS, 2006, 89 (11): : 50 - 59
  • [26] Data processing for atomic resolution holography
    Matsushita, Tomohiro
    Muro, Takayuki
    Matsui, Fumihiko
    Happo, Naohisa
    Hayashi, Kouichi
    JAPANESE JOURNAL OF APPLIED PHYSICS, 2020, 59 (02)
  • [27] HUMAN IDENTIFICATION BASED ON TENSOR REPRESENTATION OF THE GAIT MOTION CAPTURE DATA
    Josinski, Henryk
    Switonski, Adam
    Jedrasiak, Karol
    Kostrzewa, Daniel
    IAENG TRANSACTIONS ON ELECTRICAL ENGINEERING, VOL 1, 2012, : 111 - 122
  • [28] Keyframe extraction for human motion capture data based on affinity propagation
    Sun, Bin
    Kong, Dehui
    Wang, Shaofan
    Li, Jinghua
    2018 IEEE 9TH ANNUAL INFORMATION TECHNOLOGY, ELECTRONICS AND MOBILE COMMUNICATION CONFERENCE (IEMCON), 2018, : 107 - 112
  • [29] Reordering-based Transform for Compressing Human Motion Capture Data
    Hou, Junhui
    Chau, Lap-Pui
    He, Ying
    Magnenat-Thalmann, Nadia
    2015 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS (ISCAS), 2015, : 2740 - 2743
  • [30] Motion capture as Data Source for Gait-based Human Identification
    Josinski, Henryk
    Switonski, Adam
    Michalczuk, Agnieszka
    Wojciechowski, Konrad
    PRZEGLAD ELEKTROTECHNICZNY, 2012, 88 (12B): : 201 - 204