Image search using trained flexible shape models

TF Cootes, CJ Taylor, DH Cooper, J Graham

    Research output: Chapter in Book/Report/Conference proceedingChapter


    This paper describes a technique for building compact models of the shape
    and appearance of flexible objects seen in two-dimensional images. The models are
    derived from the statistics of sets of images of example objects with 'landmark' points
    labelled on each object. Each model consists of a flexible shape template, describing how
    the landmarh points can vary, and a statistical model of the expected grey levels in
    regions around each point. Such models have proved useful in a wide variety of
    applications. We describe how the models can be used in local image search and give
    examples of their applicarion.
    Original languageEnglish
    Title of host publicationAdvances in Applied Statistics
    Place of PublicationAbingdon
    PublisherCarfax Publishing Ltd
    Number of pages29
    Volume 21
    ISBN (Electronic)1360-0532
    ISBN (Print) 0266-476
    Publication statusPublished - 1994


    • Chapters and Conferences


    Dive into the research topics of 'Image search using trained flexible shape models'. Together they form a unique fingerprint.

    Cite this