[1] ZHOU X G.The research on encoding point match of stereo vision measurement[D]. Beijing:Beijing Institute of Machinery, 2003.
[2] POLLARD S,MAYHEW J, FRISBY J. PMF: a stereo correspondence algorithm using a disparity gradient limit[J]. Perception, 1985, 14: 449-470.
[3] BAKER H H,BINFORD T O. Depth from edge and intensity based stereo[C]. The 7th International Joint Conference on Artificial Intelligence, Vancouver, Canada,1981: 631-636.
[4] LOWE D G. Distinctive image features from scale-invariant keypoints[J]. International Journal of Computer Vision, 2004, 60(2): 91-110.
[5] LI X F,ZHANG Y. Detection algorithm on circular encoded point in photogrammetry[J]. Modern Manufacturing Engineering, 2012(2): 117-121.
[6] FRASER C S. Automation in digital close-range photogrammetry[C]. Proc. First Trans Tasman Surveyors Conference, Newcastle, Australia, 1997:1-10.
[7] NIEDERST M,HANS-GERD M. Automatic deformation measurement with a digital still video camera[C]. Processings of 4th Conference on Optical 3D Measurement Techniques, Zurich, Switzerland, 1997: 266-271.
[8] KEITH F, ANTHON V, NDIMI B. An inexpensive, automatic and accurate camera calibration method[C]. Proceedings of the Thirteenth Annual Symposium of the Pattern Recognition Association of South Africa, 2002:115-120.
[9] SHORTIS M R, SEAGER J W, ROBSON S, et al.. Automatic recognition of coded targets based on a hough transform and segment matching[C]. Videometrics VII, Proceedings of the SPIE, 2003: 202-208.
[10] DONG M L, ZHOU X G, ZHU L Q, et al.. Automated image matching with coded points in stereo vision measurement[J]. Chinese Journal of Mechanical Engineering, 2005, 18(3): 453-456.
[11] AHN S J,RAUH W. Circular coded target for automation of optical 3D measurement and camera calibration[J]. International Journal of Pattern Recognition and Artificial Intelligence, 2001, 15(6): 905-919.