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

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.