Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-1/W1, 151-156, 2013
http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-1-W1/151/2013/
doi:10.5194/isprsarchives-XL-1-W1-151-2013
© Author(s) 2013. This work is distributed
under the Creative Commons Attribution 3.0 License.
 
02 May 2013
MODEL-TO-IMAGE REGISTRATION AND AUTOMATIC TEXTURE MAPPING USING A VIDEO SEQUENCE TAKEN BY A MINI UAV
D. Iwaszczuk, P. Helmholz, D. Belton, and U. Stilla Photogrammetry and Remote Sensing, Technische Universität München, Arcisstr. 21, 80333 München, Germany
CRC for Spatial Information, Department of Spatial Sciences, Curtin University, GPO Box U 1987, Perth, WA, 6845, Australia
Keywords: Texture Mapping, Urban, Matching, 3D Building Models, UAV 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).
Conference paper (PDF, 333 KB)


Citation: Iwaszczuk, D., Helmholz, P., Belton, D., and Stilla, U.: MODEL-TO-IMAGE REGISTRATION AND AUTOMATIC TEXTURE MAPPING USING A VIDEO SEQUENCE TAKEN BY A MINI UAV, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-1/W1, 151-156, doi:10.5194/isprsarchives-XL-1-W1-151-2013, 2013.

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