A new approach to high precision 3-D measuring system

A 3-D measuring system is important in many industrial applications like object modeling, medical diagnosis, CAD/CAM, multi-media, and virtual reality systems. However, it takes a lot of effort and cost to develop a high precision 3-D measuring system. A novel approach is introduced in this paper, with a view to develop a 3-D measuring system to meet the requirements of high performance through low cost equipment. A laser projector with controllable light intensity and phase is designed and used as the active light source. When the light is projected on an object, the varying depths of the object surface cause phase variations in the active light projected. These phase changes are used to find out the surface coordinates of the test object using simple Digital Signal Processing techniques. The advantages of the proposed method include the following: (1) as the measuring speed is fast, our method is suitable for on-line 3-D applications, e.g. the monitoring of human body or on-line detection; (2) only a single image is required to obtain the necessary phases, so the vibration errors can be avoided; (3) each CCD element is taken as a sample point, thus a high resolution result can be obtained; and (4) the measuring result is accurate. The experimental results reveal the superiority of the proposed method.

[1]  Roger Y. Tsai,et al.  A versatile camera calibration technique for high-accuracy 3D machine vision metrology using off-the-shelf TV cameras and lenses , 1987, IEEE J. Robotics Autom..

[2]  George C. Stockman,et al.  Surface Orientation from a Projected Grid , 1989, IEEE Trans. Pattern Anal. Mach. Intell..

[3]  Yuan-Fang Wang,et al.  Computation of Surface Orientation and Structure of Objects Using Grid Coding , 1987, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[4]  Kim L. Boyer,et al.  Color-Encoded Structured Light for Rapid Active Ranging , 1987, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[5]  Danny Crookes,et al.  A high level language for parallel image processing , 1994, Image Vis. Comput..

[6]  Paul R. Cohen,et al.  Camera Calibration with Distortion Models and Accuracy Evaluation , 1992, IEEE Trans. Pattern Anal. Mach. Intell..

[7]  Katsushi Ikeuchi,et al.  Determining a Depth Map Using a Dual Photometric Stereo , 1987 .

[8]  WILLIAM CHEN,et al.  3-D camera calibration using vanishing point concept , 1991, Pattern Recognit..

[9]  S W Kim,et al.  Moiré topography by slit beam scanning. , 1992, Applied optics.

[10]  Edward B. Saff,et al.  Fundamentals of Differential Equations and Boundary Value Problems, 6th Edition , 1993 .

[11]  André Oosterlinck,et al.  Range Image Acquisition with a Single Binary-Encoded Light Pattern , 1990, IEEE Trans. Pattern Anal. Mach. Intell..

[12]  Alan V. Oppenheim,et al.  Discrete-Time Signal Pro-cessing , 1989 .

[13]  J A Liburdy,et al.  Three-dimensional image reconstruction using interferometric data from a limited field of view with noise. , 1991, Applied optics.

[14]  Masayoshi Kakikura,et al.  A 3-D Sensor System for Teaching Robot Paths and Environments , 1987 .

[15]  M. Takeda,et al.  Fourier-transform method of fringe-pattern analysis for computer-based topography and interferometry , 1982 .

[16]  Olivier D. Faugeras,et al.  Determination of Camera Location from 2-D to 3-D Line and Point Correspondences , 1990, IEEE Trans. Pattern Anal. Mach. Intell..

[17]  Cordelia Schmid,et al.  Auto-calibration by direct observation of objects , 1993, Image Vis. Comput..

[18]  K. Patorski,et al.  Polarization phase shifting method for moire interferometry and flatness testing. , 1990, Applied optics.

[19]  David J. DeFatta,et al.  Digital Signal Processing: A System Design Approach , 1988 .

[20]  D. C. Douglas Hung,et al.  3D scene modelling by sinusoid encoded illumination , 1993, Image Vis. Comput..

[21]  D. Meadows,et al.  Generation of surface contours by moiré patterns. , 1970, Applied optics.