Exploitation of photogrammetry measurement system

A digital photogrammetry measurement system (XJTUDP) is developed in this work, based on close range industry. Studies are carried out on key technologies of a photogrammetry measurement system, such as the high accuracy measurement method of a marker point center based on a fitting subpixel edge, coded point design and coded point autodetection, calibration of a digital camera, and automatic image point matching algorithms. The 3-D coordinates of object points are reconstructed using colinear equations, image orientation based on coplanarity equations, direct linear transformation solution, outer polar-line constraints, 3-D reconstruction, and a bundle adjustment solution. Through the use of circular coded points, the newly developed measurement system first locates the positions of the camera automatically. Matching and reconstruction of the uncoded points are resolved using the outer polar-line geometry of multiple positions of the camera. The normal vector of the marker points is used to eliminate the error caused by the thickness of the marker points. XJTUDP and TRITOP systems are tested on the basis of VDI/VDE2634 guidelines, respectively. Results show that their precision is less than 0.1 mm/m. The measurement results of a large-scale waterwheel blade by XJTUDP show that this photogrammetry system can be applied to industrial measurements.

[1]  Nikhil S. Phatak,et al.  Noninvasive Determination of Ligament Strain with Deformable Image Registration , 2007, Annals of Biomedical Engineering.

[2]  C. Fraser,et al.  Variation of distortion within the photographic field , 1992 .

[3]  R. A. Halim Munjy,et al.  Self-calibration using the finite element approach , 1986 .

[4]  B. Bay Texture correlation: A method for the measurement of detailed strain distributions within trabecular bone , 1995, Journal of orthopaedic research : official publication of the Orthopaedic Research Society.

[5]  Wang Huan Exploitation and Study of Close Range Industry Photogrammetry System Based on Large-scale Complex Surface Products , 2009 .

[6]  Ayman Habib,et al.  Automatic calibration of low-cost digital cameras , 2003 .

[7]  R. A. H. Munjy Calibrating non-metric cameras using the finite-element method , 1986 .

[8]  B. Bay,et al.  Digital volume correlation: Three-dimensional strain mapping using X-ray tomography , 1999 .

[9]  Bingwei He,et al.  Camera calibration with lens distortion and from vanishing points , 2009 .

[10]  J. Weiss,et al.  Strain measurement in coronary arteries using intravascular ultrasound and deformable images. , 2002, Journal of biomechanical engineering.

[11]  M. M. Rashid,et al.  Digital volume correlation including rotational degrees of freedom during minimization , 2002 .

[12]  Szymon Rusinkiewicz,et al.  Spacetime Stereo: A Unifying Framework for Depth from Triangulation , 2005, IEEE Trans. Pattern Anal. Mach. Intell..

[13]  Paul Kumar Upputuri,et al.  Measurement of discontinuous surfaces using multiple-wavelength interferometry , 2009 .

[14]  Dou Lihua Scale Adaptive Canny Edge Detection Method , 2008 .

[15]  Brian K Bay,et al.  Trabecular bone strain changes associated with subchondral stiffening of the proximal tibia. , 2003, Journal of biomechanics.