Fully Automatic Texture Mapping for Image-Based Modeling

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DOIResolve DOI: http://doi.org/10.4224/8914149
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TypeTechnical Report
AbstractImage based modeling techniques construct digital shape models from 2D images of physical objects. They are used in a wide range of applications, where both virtual and real data is required. Texture information is a crucial part of virtual models used to represent real world objects in simulations, animations, virtual and augmented reality, reverse engineering, and various other applications. In this paper, we describe a fully automated method for creating digital 3D models of real world objects with high quality texture maps from digital images. The camera calibration is obtained automatically by using selfidentifying markers. The approach for texture mapping is mainly based on Hernandez-Esteban [5] and Rocchini et al. [10]. Examples of results obtained using the proposed application are presented and discussed.
Publication date
LanguageEnglish
AffiliationNRC Institute for Information Technology; National Research Council Canada
Peer reviewedNo
NRC number48778
NPARC number8914149
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Record identifier7ebcbbe2-fdb3-4c38-a688-8d520cea3c9b
Record created2009-04-22
Record modified2016-10-03
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