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dc.contributor.authorIwaszczuk, D.
dc.contributor.authorHelmholz, Petra
dc.contributor.authorBelton, David
dc.contributor.authorStilla, A.
dc.contributor.editorC. Heipke
dc.contributor.editorK. Jacobsen
dc.contributor.editorF. Rottensteiner
dc.contributor.editorU. Sörgel
dc.date.accessioned2017-01-30T12:02:54Z
dc.date.available2017-01-30T12:02:54Z
dc.date.created2014-03-17T20:01:09Z
dc.date.issued2013
dc.identifier.citationIwaszczuk, D. and Helmholz, P. and Belton, D. and Stilla, A. 2013. Model-to-image registration and automatic texture mapping using a video sequence taken by a mini UAV, in Heipke, C. and Jacobsen, K. and Rottensteiner, F. and Sörgel, U. (ed), International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, May 21-24 2013, XL-1/W1: pp. 151-156. Hannover, Germany: ISPRS Archives.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/17604
dc.identifier.doi10.5194/isprsarchives-XL-1-W1-151-2013
dc.description.abstract

3D city models are used in many fields. Photorealistic building textures find applications such as façade reconstruction, thermal building inspections and heat leakage detection using thermal infrared (TIR) images, quantitative evaluation or study of the materials lying on the object’s surface using multispectral images. Often texturing cannot be done using the same data which was used for 3D reconstruction or textures have to be updated. In such cases co-registration between 3D building models and images has to be carried out. In this paper we present a method for model-to-image matching and texture extraction with best texture selection procedure. We present results for two data sets, first for TIR image sequences taken from a helicopter and second for VIS images taken from an Unmanned Aerial Vehicle (UAV).

dc.publisherISPRS Archives
dc.subject3D Building Models
dc.subjectUAV
dc.subjectTexture Mapping
dc.subjectUrban
dc.subjectMatching
dc.titleModel-to-image registration and automatic texture mapping using a video sequence taken by a mini UAV
dc.typeConference Paper
dcterms.source.startPage151
dcterms.source.endPage156
dcterms.source.titleISPRS Archives – Volume XL-1/W1, 2013
dcterms.source.seriesISPRS Archives – Volume XL-1/W1, 2013
dcterms.source.conferenceISPRS Hannover Workshop 2013 High-Resolution Earth Imaging for Geospatial Information
dcterms.source.conference-start-dateMay 21 2013
dcterms.source.conferencelocationHannover, Germany
dcterms.source.placewww.isprs.org
curtin.department
curtin.accessStatusOpen access via publisher


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