This paper describes work relating to the laser-based inspection of shoe uppers loaded into a pallet prior to the sewing operation. Shape modelling from scanned edge data is divided into two steps: significant point detection and curve fitting. Methods for identifying significant points such as knots and corner points are discussed, with examples given for a range of typical shoe component shapes. Techniques are proposed for stitch path generation from an edge model, the detection of badly loaded components and the detection of local defects along an edge.
Belkasim, S. O., Shriclhar, M. and Ahmadi, M.1991: Pattern recognition with moment invariants: a comparative study and new results. Pattern Recognition24, 1117-1138.
2.
Bennett, J. R. and MacDonald, J. S.1975: On the measurement of curvature in a quantised environment. IEEE Transactions on ComputersC-24, 803-820.
3.
Crispin, A. J., Pokric, B., Rankov, M., Reed-man, D. and Taylor, G. E. 1997: Laser based inspection and path correction system for automatic sewing apparatus. 3rd International Conference Laser Metrology and Machine Performance, Huddersfield, Computational Mechanics Publications, 145-160.
4.
Crispin, A. J., Pokric, B., Rankov, M., Reedman, D. and Taylor, G. E.2000: Edge inspection in automatic stitching. International Journal of Clothing Science and Technology12, 265-278.
5.
Crispin, A. J., Ibrani, L., Taylor, G. E. and Waterworth, G. 1998: High performance trajectory control using a neural network cross-coupling gain scheduler. 5th IEEE International Conference Electronics, Circuits and Systems, Lisbon, Portugal, 333-336.
6.
Crispin, A. J., Ibrani, L., Taylor, G. E. and Waterworth, G. 1999: Neural network cross-coupling gain controller for bi-axial contouring system. American Control Conference, San Diego, California, 1, 351-352.
7.
Ifeachor, E. C. and Jervis, B. W.1993: Digital signal processing: A practical approach. Wokingham: Addison-Wesley, 303-303.
8.
Mortenson, M. E.1985: Geometric modelling. New York: John Wiley.
9.
Pokric, B. 1997: Laser-based machine vision for three-dimensional surface analysis. PhD thesis, Leeds Metropolitan University.
10.
Pollard, J. H.1977: A handbook of numerical and statistical techniques with examples. Cambridge: Cambridge University Press.
11.
Pugh, A.1983: Robot vision: international trends in manufacturing technology. Berlin: IFS Publications Ltd, Springler-Verlag.
12.
Rankov, M. 1999: Data modelling and analysis for stitch path derivation in automatic stitching. PhD thesis, Leeds Metropolitan University.
13.
Rosenfield, A. and Johnson, E.1973: Angle detection on a digital curve. IEEE Transactions on Computers26, 940-941.
14.
Shao, L. and Zhou, H.1996: Curve fitting with Bezier cubics. Graphical Models and Image Processing58, 223-232.
15.
Tsai, R. Y. 1986: An efficient and accurate camera calibration technique for 3D machine vision. Proceedings of Conference on Computer Vision and Pattern Recognition (CVPR), Miami Beach, Florida, 364-374.
16.
Tsai, D. M. and Chen, M. F.1994: Curve fitting approach for tangent angle and curvature measurement. Pattern Recognition27, 699-711.
