A Grid-base Line Analysis for Street Occlusion Removal and Building Facade Texturing

نویسندگان

  • Yawen Liu
  • Zhen Guan
چکیده

The building façade model is the most prominent streetscape feature for rendering virtual street models. This paper aims to develop a method to identify street obstacles which hinder photo-realistic texturing of building façade. In order to achieve this, the presented method focuses on two research components. Firstly, we develop an effective grid-based line analysis method to differentiate image elements including building façade from the ones containing street obstacles. The image is divided into a number of grids with a regular size. The dominant façade’s geometry plays a significant role as scene knowledge to filter street obstacle by analyzing the numbers of parallel lines and the density of parallel line per each grid. Secondly we present a method to generate an occlusion-free texturing of building façade based-on planar affine transformation and bilinear interpolation. We evaluate the effect of the presented method using real street-view images.

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تاریخ انتشار 2010