15 November 2007 Building detection from LIDAR and images in urban areas
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Proceedings Volume 6788, MIPPR 2007: Pattern Recognition and Computer Vision; 67880V (2007) https://doi.org/10.1117/12.748448
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China
Abstract
Rapid texture mapping of buildings is a key aspect for reconstruction of 3D city landscapes. An effective approach by the way of coarse-to-fine 3D building model generation by integration of LIDAR and multiple overlap images is proposed. Classification and segmentation can be processed by combined multi-spectral information which is provided by color aerial image and geometric information from multi-return laser scanned data. A connected graph of the segment label image has to be created to derive the neighborhood relation of the planar segments. A line segment matching, based on geometry and chromatic constraint, is applied for automatically getting the corresponding line features in multi target images. Hypotheses for polyhedral surfaces are selected using topological relations and verified using geometry.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Haiyan Guan, Fei Deng, Jianqing Zhang, "Building detection from LIDAR and images in urban areas", Proc. SPIE 6788, MIPPR 2007: Pattern Recognition and Computer Vision, 67880V (15 November 2007); doi: 10.1117/12.748448; https://doi.org/10.1117/12.748448
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