30 October 2009 Automated texture mapping of 3D city models with images of wide-angle and light small combined digital camera system for UAV
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Proceedings Volume 7498, MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications; 74982A (2009) https://doi.org/10.1117/12.832833
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China
Abstract
To overcome the disadvantages of single non-metric camera with small format and short baseline, a wide-angle camera system is developed with the combination of four digital cameras (UAV-LAC) to meet low altitude photogrmmetric for acquiring both facades and rooftops high resolution texture of 3D city model. A relative self-calibration method based on tie points in the overlapping areas of each two sub images is used to make compensation for the deformed errors due to the light and simple constructed mechanical frame. AAT is used to rapidly retrieve pose parameters of mosaic image and original inclined images. After that, space forward intersection algorithm is used to gradually improve the building model as well as matching each space edge of building. Next, geometrical rectification is considered for textures and the best textures for wall and roof are selected by taking into account occlusion, image resolution, surface normal orientation, and coherence with neighboring triangles. Finally, by incorporating friendly necessary human interaction into texture reconstruction algorithm, an semiautomatic system is designed to reconstruct texture from UAV-LAC.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
De-zhu Gui, Zong-jian Lin, Cheng-cheng Zhang, Xiao-dong Zhi, "Automated texture mapping of 3D city models with images of wide-angle and light small combined digital camera system for UAV", Proc. SPIE 7498, MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications, 74982A (30 October 2009); doi: 10.1117/12.832833; https://doi.org/10.1117/12.832833
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