Titlebook: Shape, Contour and Grouping in Computer Vision; David A. Forsyth,Joseph L. Mundy,Roberto Cipolla Book 1999 Springer-Verlag Berlin Heidelbe

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制定

Shape, Contour and Grouping in Computer Vision978-3-540-46805-9Series ISSN 0302-9743 Series E-ISSN 1611-3349

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ALIAS

泥沼

Foreshadow

Towards the Integration of Geometric and Appearance-Based Object Recognitionresearch in appearance-based methods, invariants and generic models our ability to recog- nize man-made and natural objects in cluttered scenes with complex illumination has not significantly increased.

SKIFF

Shape Models and Object RecognitionThis paper discusses some problems that should be addressed by future object recognition systems..In particular, there are things that we know how to do today, for example:

JOG

emulsify

An Empirical-Statistical Agenda for Recognitione of new information; determining potential representations from data; and suppressing individual dif- ferences to obtain abstract classes. The problems are difficult, but none are unapproachable, given a change of emphasis in our research.

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Quasi-Invariant Parameterisations and Their Applications in Computer Visionocal invariants from second order derivatives only. The new invariants are implemented and used for matching curve segments under general affine motions and ex- tracting symmetry axes of objects with 3D bilateral symmetry.