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  1. No Access

    Reference Work Entry In depth

    Manifold Intrinsic Similarity

    Nonrigid shapes are ubiquitous in nature and are encountered at all levels of life, from macro to nano. The need to model such shapes and understand their behavior arises in many applications in imaging scienc...

    Alexander M. Bronstein, Michael M. Bronstein in Handbook of Mathematical Methods in Imaging (2015)

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    Article

    Equi-affine Invariant Geometry for Shape Analysis

    Traditional models of bendable surfaces are based on the exact or approximate invariance to deformations that do not tear or stretch the shape, leaving intact an intrinsic geometry associated with it. These ge...

    Dan Raviv, Alexander M. Bronstein… in Journal of Mathematical Imaging and Vision (2014)

  3. No Access

    Reference Work Entry In depth

    Manifold Intrinsic Similarity

    Non-rigid shapes are ubiquitous in Nature and are encountered at all levels of life, from macro to nano. The need to model such shapes and understand their behavior arises in many applications in imaging scien...

    Alexander M. Bronstein, Michael M. Bronstein in Handbook of Mathematical Methods in Imaging (2011)

  4. No Access

    Chapter and Conference Paper

    On Separation of Semitransparent Dynamic Images from Static Background

    Presented here is the problem of recovering a dynamic image superimposed on a static background. Such a problem is ill-posed and may arise e.g. in imaging through semireflective media, in separation of an illu...

    Alexander M. Bronstein, Michael M. Bronstein… in Independent Component Analysis and Blind S… (2006)