The texture extraction and mapping of buildings with occlusion detection

Abstract

Texture extraction and mapping is a key step for 3D reconstruction. The major methods are depending on experiences, scene photograph, close-range photogrammetry and oblique photogrammetry. They all require collecting additional images, which it is costly, time consuming and laborious. Meantime, the texture information acquired in the original aerial photos with high resolution is lost. Then, it is more economical and closer to reality if we can recover texture information from original aerial photographs. Thus, this paper presents one texture extraction and mapping method, with consideration of occlusion detection. There are two major characteristics: 1) Based on visibility judgment, we add the occlusion detection, which avoid the false texture extraction when the current building texture is occluded by other buildings. 2) We realize the real texture extraction and mapping from original aerial images. The location of the texture in original images is calculated with the collinearity equation and rectified texture coordinates.