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Prototyping a parallel vision system in Standard ML

Published online by Cambridge University Press:  07 November 2008

Greg Michaelson
Affiliation:
Department of Computing and Electrical Engineering, Heriot-Watt University, Edinburgh, EH 14 4AS. (e-mail: greg@cee.hw.ac.uk, norman@cee.hw.ac.uk)
Norman Scaife
Affiliation:
Department of Computing and Electrical Engineering, Heriot-Watt University, Edinburgh, EH 14 4AS. (e-mail: greg@cee.hw.ac.uk, norman@cee.hw.ac.uk)
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Abstract

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The construction of a parallel vision system from Standard ML prototypes is presented. The system recognises 3D objects from 2D scenes through edge detection, grouping of edges into straight lines and line junction based model matching. Functional prototyping for parallelism is illustrated through the development of the straight line detection component. The assemblage of the whole system from prototyped components is then considered and its performance discussed.

Type
Research Article
Copyright
Copyright © Cambridge University Press 1995

References

Amini, A. A., Weymouth, T. E. and Anderson, D. J. (1989) A parallel algorithm for determining two dimensional object positions using incomplete information about their boundaries. Pattern Recognition 22(1): 2128.CrossRefGoogle Scholar
Austin, W. J., Wallace, A. M. and Fraitot, V. (1991) Parallel Algorithms for Plane Detection using an Adaptive Hough Transform. Image & Vision Computing 9(6): 372384.Google Scholar
Austin, W. J. and Scaife, N. R. (1994) Reconfigurable Parallel Vision System: Informal Specification. Technical Report RM/94/4, Dept. of Computing and Electrical Engineering, Heriot-Watt University, April.Google Scholar
Bailey, P. R. and Newey, M. C. (1994) An Extension of ML for Distributed Memory Multicomputers. Technical report, Department of Compuuter Science, Australian National University.Google Scholar
Ballard, D. H. (1981) Generalising the Hough Transform to Detect Arbitrary Shapes. Pattern Recognition 13: 111122.Google Scholar
Bastani, F., Hilal, W. and Sithrama Iyengar, S. (1987) Efficient Abstract Data Type Components for Distributed and Parallel Systems. IEEE Computer: 3344.Google Scholar
Bhanu, B. and Nuttall, L. A. (1989) Recognition of 3D objects in range images using a butterfly processor. Pattern Recognition 22(1): 4964.CrossRefGoogle Scholar
Bratvold, T. (1993) A Skeleton-Based Parallelising Compiler for ML. In: R., Plasmeijer and M., van Eekelen, eds., Proc. 5th International Workshop on Implementation of Functional Languages,Nijmegen,The Netherlands, pp. 2333, September.Google Scholar
Bratvold, T. (1994) Skeleton-based Parallelisation of Functional Programs. PhD thesis, Department of Computing and Electrical Engineering, Heriot-Watt University.Google Scholar
Burns, A. (1988) Programming in Occam2. Addison-Wesley.Google Scholar
Busvine, D. (1991) Translation of SML to Sequential Occam2. Technical Report TR91/7, Department of Computing and Electrical Engineering, Heriot-Watt University.Google Scholar
Busvine, D. (1993) Detecting Parallel Structures in Functional Programs. PhD thesis, Heriot-Watt University.Google Scholar
Canny, J. (1986) A Computational Approach to Edge Detection. IEEE Trans. Pattern Analysis and Machine Intelligence 8: 679698.Google Scholar
Cohen, V., Landy, S., Pavel, M. and Sperling, G. (1982) HIPS: Image Processing Under Unix Software and Applications. Human Information Processing Laboratory, Department of Psychology, New York University.Google Scholar
Cole, M. I. (1989) Algorithmic Skeletons: Structured Management of Parallel Computation. Pitman/MIT.Google Scholar
Cripps, M. D., Darlington, J., Field, A. J., Harrison, P. G. and Reeve, M. J. (1987) The Design and Implementation of ALICE: a Parallel Graph Reduction Machine, pp. 300326.Google Scholar
Darlington, J., Field, A. J., Harrison, P. G., Kelly, P. H. J., Sharp, D. W. N. and Wu, Q. (1993) Parallel Programming Using Skeleton Functions. In: A., BodeM., Reeve and G., Wolf, eds., PARLE 1993 Parallel Architectures and Languages Europe, Munich, Germany, pp. 146160. Lecture Notes in Computer Science Vol 694. Springer-Verlag.Google Scholar
Dudani, S. A. and Luk, A. L. (1978) Locating straight-line edge segments on outdoor scenes. Pattern Recognition 10: 145147.Google Scholar
Hammond, K. (1991) Parallel SML: a Functional Language and its Implementation in Dactl. Pitman.Google Scholar
Hammond, K. (1994) Parallel Functional Programming: An Introduction (invited paper). In: Proc. PaSCo94, Linz, Austria. World Scientific, 09.Google Scholar
Hough, P. V. C. (1962) Method and Means for Recognising Complex Patterns. U.S. Patent No. 3069654.Google Scholar
Illingworth, J. and Kittler, J. (1988) SURVEY: A Survey of the Hough Transform. CVGIP 44: 87116.Google Scholar
Inmos Ltd. (1988) Occam2 Reference Manual.Google Scholar
Peyton Jones, S. L., Clack, C., Salkild, J. and Hardie, M. (1987) GRIP – A High-Performance Architecture for Parallel Graph Reduction. In: G., Kahn, ed., Functional Programming Languages and Computer Architecture, pp 98112. Springer-Verlag.Google Scholar
Kelly, P. H. J. (1987) Functional Languages for Loosely Coupled Microprocessors. PhD thesis, Imperial College, University of London.Google Scholar
Kittler, J. and Duff, M. J. B. (1985) Image Processing System Architectures. Research Studies Press.Google Scholar
Koutsakis, G. (1993) Parallel Low Level Vision from Functional Prototypes. Master's thesis, Department of Computing and Electrical Engineering, Heriot-Watt University.Google Scholar
Kozato, Y. (1994) Lazy Image Processing: An Investigation into Applications of Lazy Functional Languages in Image Processing. PhD thesis, University of London.Google Scholar
Landin, P. J. (1964) The Mechanical Evaluation of Expressions. Computer J. 6(4): 308320.Google Scholar
Leavers, V. F. (1993) Survey: Which Hough Transform? CVGIP: Image Understanding 58(2): 250264.Google Scholar
Lotufo, R. A., Dagless, E. L., Milford, D. J., Morgan, A. D., Morrissey, J. F. and Thomas, B. T. (1989) Hough transform for transputer arrays. In: Proc. 3rd International Conference on Image Processing and its Applications,Warwick, UK, pp. 122130.Google Scholar
May, M. D. and Shepherd, R. (1987) Communicating Process Computers. Technical Note 22, Inmos Ltd, UK.Google Scholar
McAndrew, P. (1990) Recognising and Locating Objects in Two Dimensional Perspective Views. PhD thesis, Department of Computing and Electrical Engineering, Heriot-Watt University.Google Scholar
McAndrew, P. and Wallace, A. M. (1989) Rapid invocation and matching of 2d images to 3d models using curvilinear data. In: Proc. 3rd International Conference on Image Processing and its Applications,Warwick, UK, pp. 8387.Google Scholar
Milner, R., Tofte, M. and Harper, R. (1990) The Definition of Standard ML. MIT Press.Google Scholar
Peyton Jones, S. (1987) The Implementation of Functional Languages. Prentice-Hall.Google Scholar
Rosenfeld, A., Ornelas, J. and Hung, Y. (1988) Hough transform algorithms for mesh-connected SIMD parallel processors. Computer Vision, Graphics and Image Processing 41: 293305.CrossRefGoogle Scholar
Stepney, S. (1993) High Integrity Compilation: A Case Study. Prentice-Hall.Google Scholar
Tarditi, D. and Diwan, A. (1993) The Full Cost of a Generational Copying Garbage Collection Implementation. Technical report, School of Computer Science, Carnegie Mellon University.Google Scholar
Wallace, A. M., Michaelson, G. J., McAndrews, P., Waugh, K. G. and Austin, W. J. (1992) Dynamic Control and Prototyping of Parallel Algorithms for Intermediate- and High-Level Vision. IEEE Computer 25(2).Google Scholar
Waugh, K., McAndrew, P. A. and Michaelson, G. J. (1990) Parallel Implementations from Functional Prototypes: A Case Study. Technical Report TR90/4, Heriot-Watt University.Google Scholar
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