Image sensing model and computer simulation for CCD camera systems

A computational model and a computer simulation system are presented for image sensing in a typical CCD camera system. The computational model makes explicit the sequence of transformations that the light incident on the camera system undergoes before being sensed and recorded. The model is based on a precise definition of input to the camera system that decouples the photometric properties of a scene from the geometric properties of the scene. Based on this model, an interactive research software, the Image Defocus Simulator, has been developed. Application of this software in machine vision research and development is described with examples.

[1]  Steven K. Feiner,et al.  Computer graphics: principles and practice (2nd ed.) , 1990 .

[2]  Herbert Freeman,et al.  Machine Vision for Inspection and Measurement , 1989 .

[3]  Steven A. Shafer.  Automation and calibration for robot vision systems , 1988 .

[4]  Amar Mitiche,et al.  Review of 'Digital Picture Processing,' 2nd edn. (Rosenfeld, A., and Kak, A.C.; 1982) , 1984, IEEE Transactions on Information Theory.

[5]  Emil Wolf,et al.  Principles of Optics: Contents , 1999 .

[6]  A. W. M. van den Enden,et al.  Discrete Time Signal Processing , 1989 .

[7]  Yong C. Chen,et al.  Lens effect on synthetic image generation based on light particle theory , 1987, The Visual Computer.

[8]  H. H. Hopkins.  The frequency response of a defocused optical system , 1955, Proceedings of the Royal Society of London. Series A. Mathematical and Physical Sciences.

[9]  Muralidhara Subbarao.  Efficient Depth Recovery through Inverse Optics , 1989 .

[10]  Murali Subbarao,et al.  Application of spatial-domain convolution/deconvolution transform for determining distance from image defocus , 1993, Other Conferences.

[11]  W. N. Sproson,et al.  Colour Science in Television and Display Systems , 1983 .

[12]  J. Goodman.  Introduction to Fourier optics , 1969 .

[13]  Azriel Rosenfeld,et al.  Digital Picture Processing , 1976 .

[14]  Glenn Healey,et al.  Modeling and calibrating CCD cameras for illumination-insensitive machine vision , 1992, Other Conferences.

[15]  Murali Subbarao,et al.  Depth from defocus and rapid autofocusing: a practical approach , 1992, Proceedings 1992 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[16]  Alfred V. Aho,et al.  Compilers: Principles, Techniques, and Tools , 1986, Addison-Wesley series in computer science / World student series edition.

[17]  Ming-Chin Lu,et al.  Computer modeling and simulation techniques for computer vision problems , 1993 .

[18]  Martin D. Levine,et al.  Vision in Man and Machine , 1985 .

[19]  大野 義夫,et al.  Computer Graphics : Principles and Practice, 2nd edition, J.D. Foley, A.van Dam, S.K. Feiner, J.F. Hughes, Addison-Wesley, 1990 , 1991 .

[20]  Image Defocus Simulator: a Software Tool Image Defocus Simulator: a Software Tool 1 User's Manual , 1992 .

[21]  Michael Potmesil,et al.  Synthetic Image Generation with a Lens and Aperture Camera Model , 1982, TOGS.

[22]  Berthold K. P. Horn.  Robot vision , 1986, MIT electrical engineering and computer science series.