Predicting 3D Motions from Single-Camera Optical Test Data

被引:0
|
作者
D.P. Rohe
B.L. Witt
T.F. Schoenherr
机构
[1] Sandia National Laboratories,
来源
Experimental Techniques | 2021年 / 45卷
关键词
Optical; Finite element expansion; Synthetic images; Structural dynamics;
D O I
暂无
中图分类号
学科分类号
摘要
In a typical optical test, a stereo camera pair is required to measure the three-dimensional motion of a test article; one camera typically only measures motions in the image plane of the camera, and measurements in the out-of-plane direction are missing. Finite element expansion techniques provide a path to estimate responses from a test at unmeasured degrees of freedom. Treating the case of a single camera as a measurement with unmeasured degrees of freedom, a finite element model is used to expand to the missing third dimension of the image data, allowing a full-field, three-dimensional measurement to be obtained from a set of images from a single camera. The key to this technique relies on the mapping of finite element deformations to image deformations, creating a set of mode shape images that are used to filter the response in the image into modal responses. These modal responses are then applied to the finite element model to estimate physical responses at all finite element model degrees of freedom. The mapping from finite element model to image is achieved using synthetic images produced by a rendering software. The technique is applied first to a synthetic deformation image, and then is validated using an experimental set of images.
引用
收藏
页码:313 / 327
页数:14
相关论文
共 50 条
  • [1] Predicting 3D Motions from Single-Camera Optical Test Data
    Rohe, D. P.
    Witt, B. L.
    Schoenherr, T. F.
    [J]. EXPERIMENTAL TECHNIQUES, 2021, 45 (03) : 313 - 327
  • [2] Estimating somatotype from a single-camera 3D body scanning system
    Chiu, Chuang-Yuan
    Ciems, Raimonds
    Thelwell, Michael
    Bullas, Alice
    Choppin, Simon
    [J]. EUROPEAN JOURNAL OF SPORT SCIENCE, 2022, 22 (08) : 1204 - 1210
  • [3] Bayesian reconstruction of 3D human motion from single-camera video
    Howe, NR
    Leventon, ME
    Freeman, WT
    [J]. ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 12, 2000, 12 : 820 - 826
  • [4] Single-camera 3D PTV using particle intensities and structured light
    A. A. Aguirre-Pablo
    A. B. Aljedaani
    J. Xiong
    R. Idoughi
    W. Heidrich
    S. T. Thoroddsen
    [J]. Experiments in Fluids, 2019, 60
  • [5] A single-camera 3D microscope scanner with image stitching and stereo matching
    Vazquez, Alejandro
    Wang, Boyang
    Yang, Guojun
    Saniie, Jafar
    [J]. IEEE International Conference on Electro Information Technology, 2019, 2019-May : 404 - 409
  • [6] Single-camera 3D PTV using particle intensities and structured light
    Aguirre-Pablo, A. A.
    Aljedaani, A. B.
    Xiong, J.
    Idoughi, R.
    Heidrich, W.
    Thoroddsen, S. T.
    [J]. EXPERIMENTS IN FLUIDS, 2019, 60 (02)
  • [7] Centrosymmetric 3D Deformation Measurement using Grid Method with a Single-Camera
    Wen, H.
    Liu, Z.
    Li, C.
    He, X.
    Rong, J.
    Huang, X.
    Xie, H.
    [J]. EXPERIMENTAL MECHANICS, 2017, 57 (04) : 537 - 546
  • [8] A Single-Camera 3D Microscope Scanner with Image Stitching and Stereo Matching
    Vazquez, Alejandro
    Wang, Boyang
    Yang, Guojun
    Saniie, Jafar
    [J]. 2019 IEEE INTERNATIONAL CONFERENCE ON ELECTRO INFORMATION TECHNOLOGY (EIT), 2019, : 404 - 409
  • [9] Single-camera 3D head fitting for mixed reality clinical applications
    Mane, Tejas
    Bayramova, Aylar
    Daniilidis, Kostas
    Mordohai, Philippos
    Bernardis, Elena
    [J]. COMPUTER VISION AND IMAGE UNDERSTANDING, 2022, 218
  • [10] Centrosymmetric 3D Deformation Measurement using Grid Method with a Single-Camera
    H. Wen
    Z. Liu
    C. Li
    X. He
    J. Rong
    X. Huang
    H. Xie
    [J]. Experimental Mechanics, 2017, 57 : 537 - 546