Content-based Retrieval Aided Registration for Texture Images and Range Images

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Proceedings titleVideometrics IX (E1103)
ConferenceThe Symposium: Annual IS&T/SPIE on Electronic Imaging, January 28 - February 1, 2007.
Subjectcontent-based indexing/retrieval; model; range images; registration; three-dimensional; 3D; modèle; images distances; enregistrement; tridimensionnel; 3D
AbstractThe modelling of complex objects and sites involve the acquisition of a large number of texture maps and range images; each one of them representing a particular viewing angle. These views must be combined and registered in order to create an accurate model of the original. The complexity of the resultant models, and consequently the number of views required, has increased tremendously over the past decade. Furthermore major projects involve multinational and multilingual teams, each with different underlying methodologies. In such conditions, it is difficult to make sense of the annotation and to determine which views should be registered together. We propose a new approach in which similar views are found by content-based indexing and retrieval of textures (2D) and range images (3D). The views are described automatically, according to their appearance and their 3D geometry. A search engine allows retrieving similar and related views for registration.
Publication date
AffiliationNRC Institute for Information Technology; National Research Council Canada
Peer reviewedNo
NRC number48796
NPARC number5764484
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Record identifier91901650-5dd6-47b6-bcbc-88289e5e51fe
Record created2009-03-29
Record modified2016-05-09
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