A method of 3D measuring for finger pointing using a single camera

被引:0
|
作者
Nakayama, Hironobu [1 ]
Sakamoto, Kunio [1 ]
机构
[1] Shimane Univ, Interdisciplinary Fac Sci & Engn, 1060 Nishikawatsu Cho, Matsue, Shimane 6908504, Japan
来源
INTELLIGENT ROBOTS AND COMPUTER VISION XXIV: ALGORITHMS, TECHNIQUES, AND ACTIVE VISION | 2006年 / 6384卷
基金
日本科学技术振兴机构;
关键词
interface; finger pointing; interaction; virtual reality; 3D workspace; 3D imaging;
D O I
10.1117/12.685323
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
A finger pointing system is described that can specify the position of a pointed target. A 3D position is generally detected and measured using stereoscopic images of multi-lens camera system. This pair of stereo images allows us to obtain the 3D information about the object. However it is possible to estimate the position of fingertip using a single image without stereo images. The geometric model of human gives estimates of the length of an arm and the 3D position of a fingertip. We approximately find out the length of an arm from stature and shoulder lengths, then the 3D position of a fingertip is estimated using the geometric model. We have developed a prototype finger pointing system using a single camera and a personal computer. This paper proposes the measuring method of the positions of finger and pointed target using a single camera.
引用
收藏
页数:8
相关论文
共 50 条
  • [41] 3DSSE-A 3D Scene Search Engine Exploring 3D scenes using keywords
    Koutsoudis, Anestis
    Stavroglou, Konstantinos
    Pavlidis, George
    Chamzas, Christodoulos
    JOURNAL OF CULTURAL HERITAGE, 2012, 13 (02) : 187 - 194
  • [42] Tech-note: ScrutiCam: Camera Manipulation Technique for 3D Objects Inspection
    Decle, Fabrice
    Hachet, Martin
    Guitton, Pascal
    3DUI : IEEE SYMPOSIUM ON 3D USER INTERFACES 2009, PROCEEDINGS, 2009, : 19 - +
  • [43] A Method for Achieving the Maximum Quality of 3D Images
    Tumanova, Evgeniya I.
    Rogozinsky, Gleb G.
    Tatarenkov, Dmitry A.
    Dalk, Marpha A.
    PROCEEDINGS OF THE 2019 IEEE CONFERENCE OF RUSSIAN YOUNG RESEARCHERS IN ELECTRICAL AND ELECTRONIC ENGINEERING (EICONRUS), 2019, : 151 - 153
  • [44] 3D Gaze Point Localization and Visualization Using LiDAR-based 3D Reconstructions
    Pieszala, James
    Diaz, Gabriel
    Pelz, Jeff
    Speir, Jacqueline
    Bailey, Reynold
    2016 ACM SYMPOSIUM ON EYE TRACKING RESEARCH & APPLICATIONS (ETRA 2016), 2016, : 201 - 204
  • [45] Pointing It out! Comparing Manual Segmentation of 3D Point Clouds between Desktop, Tablet, and Virtual Reality
    Liebers, Carina
    Prochazka, Marvin
    Pfutzenreuter, Niklas
    Liebers, Jonathan
    Auda, Jonas
    Gruenefeld, Uwe
    Schneegass, Stefan
    INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION, 2024, 40 (19) : 5602 - 5616
  • [46] TransCAIP: A Live 3D TV System Using a Camera Array and an Integral Photography Display with Interactive Control of Viewing Parameters
    Taguchi, Yuichi
    Koike, Takafumi
    Takahashi, Keita
    Naemura, Takeshi
    IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, 2009, 15 (05) : 841 - 852
  • [47] 3D Multimodal Sensing and Feedback Finger Case for Immersive Dual-Way Interaction
    Chen, Tao
    Dai, Zhiwei
    Liu, Ming
    Zhao, Yudong
    Ling, Hao
    Sun, Lining
    He, Haidong
    Lee, Chengkuo
    Zhu, Minglu
    ADVANCED MATERIALS TECHNOLOGIES, 2024, 9 (05)
  • [48] Evaluation of a 3D Printed Soft Sensor for Measuring Fingertip Interaction Forces
    Wolterink, Gerjan
    Kosmas, Dimitrios
    Schouten, Martijn
    van Beijnum, Bert-Jan F.
    Veltink, Peter H.
    Krijnen, Gijs
    IEEE SENSORS JOURNAL, 2022, 22 (12) : 11499 - 11508
  • [49] 3D Simulation of Interior House Des gn in VR Using VR3ID Method
    Yan, Ruiliong
    Masood, Anum
    Li, Ping
    Ali, Saba Ghazanfar
    Sheng, Bin
    Ren, Jie
    PROCEEDINGS OF THE 2018 IEEE INTERNATIONAL CONFERENCE ON PROGRESS IN INFORMATICS AND COMPUTING (PIC), 2018, : 236 - 240
  • [50] Creating Immersive Virtual Reality Scenes Using a Single RGB-D Camera
    Lai, Po Kong
    Laganiere, Robert
    IMAGE ANALYSIS AND RECOGNITION, ICIAR 2017, 2017, 10317 : 221 - 230