In this paper we investigate the structure and motion problem for calibrated one-dimensional projections of a two-dimensional environment. In a previous paper the structure and motion problem for all cases with non-missing data was classified and solved. Our aim is here to classify all structure and motion problems, even those with missing data, and to solve them. Although our focus here is on one-dimensional retina, the classification part works equally well for ordinary cameras, and we give some results for those as well.


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    Title :

    Classifying and solving minimal structure and motion problems with missing data


    Contributors:
    Oskarsson, M. (author) / Astrom, K. (author) / Overgaard, N. (author)


    Publication date :

    2001-01-01


    Size :

    622256 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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