View Planning for Cityscape Archiving and Visualization

This work explores full registration of scenes in a large area purely based images for city indexing and visualization. Ground-based images including route panoramas, scene tunnels, panoramic views, and spherical views are acquired in the area and are associated with geospatial information. In this paper, we plan distributed locations and paths in the urban area based on the visibility, image properties, image coverage, and scene importance for image acquisition. The criterion is to use a small number of images to cover as large scenes as possible. LIDAR data are used in this view evaluation and real data are acquired accordingly. The extended images realize a compact and complete visual data archiving, which will enhance the perception of spatial relations of scenes.

• Type: Conference
• Year: 2007
• Where: ACCV
• Authors: Jiang Yu Zheng, Xiaolong Wang
• Keywords: ACCV 2007, Computer Vision, Ground-based Images, Images, Large Area