Model-Based Recognition and Parameter Estimation of Buildings from Multi-View Aerial Imagery Using Multi-Segmentation

This paper describes a system for analysis of aerial images of urban areas using multiple images from different viewpoints. In this paper the emphasis is on the discussion of the experimental evaluation using segmented images obtained by applying 3 different parameters in the segmentation-process. The proposed approach combines bottom-up and top-down processing. To evaluate statistically the performance of the system, a set of 50 realisations of 5 images from different viewpoints was used, which was generated by combining real and ray-traced images. The experiments show a significant improvement of reliability and accuracy if multi-segmentation is used in multi-view imagery, instead of single-segmentation