An Accurate User Position Estimation Method Using a Single Camera for 3D Display without Glasses

被引:0
|
作者
Kim, Byeoung-su [1 ]
Lee, Cho-il [1 ]
Ju, Seong-hwan [2 ]
Kim, Whoi-Yul [1 ]
机构
[1] Hanyang Univ, Dept Elect & Comp Engn, Seoul 139791, South Korea
[2] LG Display, Gyeonggi Do, South Korea
来源
关键词
face detection; tracking and recognition; pose estimation; active appearance models; POSE ESTIMATION; TRACKING;
D O I
10.1587/transinf.E96.D.1344
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
3D display systems without glasses are preferred because of the inconvenience wearing of special glasses while viewing 3D content. In general, non-glass type 3D displays work by sending left and right views of the content to the corresponding eyes depending on the user position with respect to the display. Since accurate user position estimation has become a very important task for non-glass type 3D displays, most of such systems require additional hardware or suffer from low accuracy. In this paper, an accurate user position estimation method using a single camera for non-glass type 3D display is proposed. As inter-pupillary distance is utilized for the estimation, at first the face is detected and then tracked using an Active Appearance Model. The pose of face is then estimated to compensate the pose variations. To estimate the user position, a simple perspective mapping function is applied which uses the average of the inter-pupillary distance. For accuracy, personal inter-pupillary distance can also be used. Experimental results have shown that the proposed method successfully estimated the user position using a single camera. The average error for position estimation with the proposed method was small enough for viewing 3D contents.
引用
收藏
页码:1344 / 1350
页数:7
相关论文
共 50 条
  • [1] Colour display is 3D without glasses
    不详
    [J]. ELECTRONICS WORLD, 2003, 109 (1802): : 8 - 8
  • [2] 3D Gaze Estimation with a Single Camera without IR Illumination
    Chen, Jixu
    Ji, Qiang
    [J]. 19TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOLS 1-6, 2008, : 3843 - 3846
  • [3] A Simple Interface for 3D Position Estimation of a Mobile Robot with Single Camera
    Chao, Chun-Tang
    Chung, Ming-Hsuan
    Chiou, Juing-Shian
    Wang, Chi-Jo
    [J]. SENSORS, 2016, 16 (04):
  • [4] Experiments in 3D measurements by using single camera and accurate motion
    Heimonen, T
    Hannuksela, J
    Heikkilä, J
    Leinonen, J
    Manninen, M
    [J]. PROCEEDINGS OF THE 2001 IEEE INTERNATIONAL SYMPOSIUM ON ASSEMBLY AND TASK PLANNING (ISATP2001): ASSEMBLY AND DISASSEMBLY IN THE TWENTY-FIRST CENTURY, 2001, : 356 - 361
  • [5] An Accurate 3D Localization Technique using a Single Camera and Ultrasound
    Sugimoto, Masanori
    Kanie, Noriyoshi
    Nakamura, Shigeki
    Hashizume, Hiromichi
    [J]. 2012 INTERNATIONAL CONFERENCE ON INDOOR POSITIONING AND INDOOR NAVIGATION (IPIN), 2012,
  • [6] MULTI-USER GLASSES FREE 3D DISPLAY USING AN OPTICAL ARRAY
    Brar, Rajwinder Singh
    Surman, Phil
    Sexton, Ian
    Hopf, Klaus
    [J]. 2010 3DTV-CONFERENCE: THE TRUE VISION - CAPTURE, TRANSMISSION AND DISPLAY OF 3D VIDEO (3DTV-CON 2010), 2010,
  • [7] An accurate and compact 3D tracking system using a single camera and ultrasound
    Sugimoto, Masanori
    Kanie, Noriyoshi
    Nakamura, Shigeki
    Hashizume, Hiromichi
    [J]. JOURNAL OF LOCATION BASED SERVICES, 2014, 8 (01) : 18 - 35
  • [8] Accurate and Robust 3D Facial Capture Using a Single RGBD Camera
    Chen, Yen-Lin
    Wu, Hsiang-Tao
    Shi, Fuhao
    Tong, Xin
    Chai, Jinxiang
    [J]. 2013 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV), 2013, : 3615 - 3622
  • [9] 3D head position estimation using a single onmidirectional camera for non-intrusive iris recognition
    Bae, Kwanghyuk
    Park, Kang Ryoung
    Kim, Jaihie
    [J]. MULTIMEDIA CONTENT REPRESENTATION, CLASSIFICATION AND SECURITY, 2006, 4105 : 167 - 174
  • [10] User-position Aware Adaptive Display of 3D Data without Additional Stereoscopic Hardware
    Birk, Udo
    Roebrock, Philipp
    [J]. ELEVENTH INTERNATIONAL CONFERENCE ON MACHINE VISION (ICMV 2018), 2019, 11041