Facade model refinement by fusing terrestrial laser data and image

Yawen Liu; Sushun Qin

doi:10.1117/12.2214179

14 December 2015 Facade model refinement by fusing terrestrial laser data and image

Yawen Liu, Sushun Qin

Proceedings Volume 9813, MIPPR 2015: Pattern Recognition and Computer Vision; 981317 (2015) https://doi.org/10.1117/12.2214179
Event: Ninth International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2015), 2015, Enshi, China

Abstract

The building facade model is one of main landscapes of a city and basic data of city geographic information. It is widely useful in accurate path planning, real navigation through the urban environment, location-based application, etc. In this paper, a method of facade model refinement by fusing terrestrial laser data and image is presented. It uses the matching of model edge and image line combined with laser data verification and effectively refines facade geometry model that reconstructed from laser data. The laser data of geometric structures on building facade such as window, balcony and door are segmented, and used as a constraint for further selecting the optical model edges that are located at the cross-line of point data and no data. The results demonstrate the deviation of model edges caused by laser sampling interval can be removed in the proposed method.

Citation Download Citation

Yawen Liu and Sushun Qin "Facade model refinement by fusing terrestrial laser data and image", Proc. SPIE 9813, MIPPR 2015: Pattern Recognition and Computer Vision, 981317 (14 December 2015); https://doi.org/10.1117/12.2214179

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