NEW SENSOR GEOMETRIES FOR IMAGE PROCESSING: COMPUTER VISION IN THE POLAR EXPONENTIAL GRID.

P. S. Schenker, E. G. Cande, Edward Wong, W. R. Patterson

    Research output: Chapter in Book/Report/Conference proceedingChapter

    Abstract

    A capsular introduction is provided to the theoretical framework and experimental applications of the Polar Exponential Grid (PEG) transformation, in the context of image analysis. The PEG transformation is an isomorphic representation of the image intensity array that simplifies, and potentially offers new insights about, a variety of tasks in computational vision. The PEG transform representation is described and its functional precursors in optical computing and image processing are briefly surveyed. An example is then given of PEG-based image analysis for rotation-and-scale variant template matching and the PEG transform is presented as a motif for a class of problems in stochastic estimation of object boundaries.

    Original languageEnglish (US)
    Title of host publicationICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
    PublisherIEEE
    Pages1144-1148
    Number of pages5
    Volume3
    StatePublished - 1981
    EventUnknown conference - Atlanta, Ga
    Duration: Mar 30 1981Apr 1 1981

    Other

    OtherUnknown conference
    CityAtlanta, Ga
    Period3/30/814/1/81

    Fingerprint

    computer vision
    Image analysis
    Computer vision
    image processing
    Image processing
    grids
    Optical data processing
    Template matching
    Geometry
    sensors
    Sensors
    geometry
    image analysis
    templates

    ASJC Scopus subject areas

    • Signal Processing
    • Electrical and Electronic Engineering
    • Acoustics and Ultrasonics

    Cite this

    Schenker, P. S., Cande, E. G., Wong, E., & Patterson, W. R. (1981). NEW SENSOR GEOMETRIES FOR IMAGE PROCESSING: COMPUTER VISION IN THE POLAR EXPONENTIAL GRID. In ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings (Vol. 3, pp. 1144-1148). IEEE.

    NEW SENSOR GEOMETRIES FOR IMAGE PROCESSING : COMPUTER VISION IN THE POLAR EXPONENTIAL GRID. / Schenker, P. S.; Cande, E. G.; Wong, Edward; Patterson, W. R.

    ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. Vol. 3 IEEE, 1981. p. 1144-1148.

    Research output: Chapter in Book/Report/Conference proceedingChapter

    Schenker, PS, Cande, EG, Wong, E & Patterson, WR 1981, NEW SENSOR GEOMETRIES FOR IMAGE PROCESSING: COMPUTER VISION IN THE POLAR EXPONENTIAL GRID. in ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. vol. 3, IEEE, pp. 1144-1148, Unknown conference, Atlanta, Ga, 3/30/81.
    Schenker PS, Cande EG, Wong E, Patterson WR. NEW SENSOR GEOMETRIES FOR IMAGE PROCESSING: COMPUTER VISION IN THE POLAR EXPONENTIAL GRID. In ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. Vol. 3. IEEE. 1981. p. 1144-1148
    Schenker, P. S. ; Cande, E. G. ; Wong, Edward ; Patterson, W. R. / NEW SENSOR GEOMETRIES FOR IMAGE PROCESSING : COMPUTER VISION IN THE POLAR EXPONENTIAL GRID. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. Vol. 3 IEEE, 1981. pp. 1144-1148
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