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Author Kuzu, Yasemin ♦ Rodehorst, Volker
Source CiteSeerX
Content type Text
File Format PDF
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Approximate Geometric Representation ♦ Volumetric Modelling ♦ Critical Area ♦ Visual Hull ♦ Bounding Pyramid ♦ Second Step ♦ Efficient Image-based Approach ♦ Modeling Error ♦ Principal Inability ♦ Low Cost Measuring Environment ♦ Projection Center ♦ Real Object ♦ Object Concavity ♦ Pyramid Defines ♦ Volume Model ♦ New Result ♦ Silhouette Image
Description In this paper we describe an efficient image-based approach to compute volume models from silhouette images in a low cost measuring environment. First, the contours of a real object must be extracted from a sequence of images. In a second step, a bounding pyramid is constructed using the projection center and the silhouette. The intersection of all bounding pyramids defines an approximate geometric representation for the object called visual hull. Silhouette based constructions have the principal inability to detect the object concavities. We present some new results to minimize the modeling error on critical areas using a block matching approach. 1.
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research
Education Level UG and PG ♦ Career/Technical Study
Learning Resource Type Article
Publisher Date 2001-01-01
Publisher Institution Fourth Turkish-German Joint Geodetic Days