TOWARD AUTOMATED FAÇADE TEXTURE GENERATION FOR 3D PHOTOREALISTIC CITY MODELLING WITH SMARTPHONES OR TABLET PCS
An automated model-image fitting algorithm is proposed in this paper for generating façade texture image from pictures taken by smartphones or tablet PCs. The façade texture generation requires tremendous labour work and thus, has been the bottleneck of 3D photo-realistic city modelling. With adva...
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Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2012-07-01
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Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
Online Access: | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XXXIX-B3/351/2012/isprsarchives-XXXIX-B3-351-2012.pdf |
Summary: | An automated model-image fitting algorithm is proposed in this paper for generating façade texture image from pictures taken by
smartphones or tablet PCs. The façade texture generation requires tremendous labour work and thus, has been the bottleneck of 3D
photo-realistic city modelling. With advanced developments of the micro electro mechanical system (MEMS), camera, global
positioning system (GPS), and gyroscope (G-sensors) can all be integrated into a smartphone or a table PC. These sensors bring the
possibility of direct-georeferencing for the pictures taken by smartphones or tablet PCs. Since the accuracy of these sensors cannot
compared to the surveying instruments, the image position and orientation derived from these sensors are not capable of
photogrammetric measurements. This paper adopted the least-squares model-image fitting (LSMIF) algorithm to iteratively improve
the image's exterior orientation. The image position from GPS and the image orientation from gyroscope are treated as the initial
values. By fitting the projection of the wireframe model to the extracted edge pixels on image, the image exterior orientation
elements are solved when the optimal fitting achieved. With the exact exterior orientation elements, the wireframe model of the
building can be correctly projected on the image and, therefore, the façade texture image can be extracted from the picture. |
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ISSN: | 1682-1750 2194-9034 |