Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B1, 639-645, 2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
06 Jun 2016
E. Boussias-Alexakis1, V. Tsironisa1, E. Petsa2, and G. Karras1 1Laboratory of Photogrammetry, Department of Surveying, National Technical University of Athens, GR-15780 Athens, Greece
2Laboratory of Photogrammetry, Department of Civil Engineering and Surveying & Geoinformatics Engineering, Technological Educational Institute of Athens, GR-12210 Athens, Greece
Keywords: panoramas, wide baseline, bundle adjustment, image matching, cartographic projection, projective transformation Abstract. This paper focuses on the issue of sparse matching in cases of extremely wide-base panoramic images such as those acquired by Google Street View in narrow urban streets. In order to effectively use affine point operators for bundle adjustment, panoramas must be suitably rectified to simulate affinity. To this end, a custom piecewise planar projection (triangular prism projection) is applied. On the assumption that the image baselines run parallel to the street façades, the estimated locations of the vanishing lines of the façade plane allow effectively removing projectivity and applying the ASIFT point operator on panorama pairs. Results from comparisons with multi-panorama adjustment, based on manually measured image points, and ground truth indicate that such an approach, if further elaborated, may well provide a realistic answer to the matching problem in the case of demanding panorama configurations.
Conference paper (PDF, 9239 KB)

Citation: Boussias-Alexakis, E., Tsironisa, V., Petsa, E., and Karras, G.: AUTOMATIC ADJUSTMENT OF WIDE-BASE GOOGLE STREET VIEW PANORAMAS, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B1, 639-645,, 2016.

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