An integrated approach for object shape registration and modeling
Adamek, Tomasz and O'Connor, Noel E. and Jones, Gareth J.F. and Murphy, Noel (2005) An integrated approach for object shape registration and modeling. In: MIR 2005 - 7th ACM SIGMM international Workshop on Multimedia Information Retrieval, 15 - 19 August 2005, Salvador, Brazil.
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In this paper, an integrated approach to fast and efficient
construction of statistical shape models is proposed that is
a potentially useful tool in Information Retrieval(IR). The
tool allows intuitive extraction of accurate contour examples from a set of images using a semi-automatic segmentation approach. The user is allowed to draw on the scene by simply dragging a mouse over the image and creating
a set of labelled scribbles for the objects to be segmented.
An automatic segmentation algorithm uses the scribbles to
partition the scene and extract objects’ contour. A set of labelled points (landmarks) is identified automatically on the set of examples thereby allowing statistical modeling of the objects’ shape. The main contribution of this paper is the new approach to automatic landmark identification eliminating the burden of manual landmarking. The approach
utilizes a robust method for pairwise correspondence proposed originally in [1, 2]. The landmarks are used to train statistical shape models known as Point Distribution Models (PDM) . Qualitative results are presented for 3 classes of shape which exhibit various types of nonrigid deformation.
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