Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
534894 | Pattern Recognition Letters | 2009 | 9 Pages |
Abstract
In this paper, we propose a practical modeling method for large-scale building modeling with multiple image sequences. First, a scene is acquired via a pose camera, which annotates each image with navigation information using GPS and a digital compass. An adjacency graph was built to determine the approximate spatial adjacency given roughly known poses of each image sequences, to organize the nodes into a set of sequences and to access the nodes. The camera positions are obtained by using a standard Structure from Motion algorithm. After the pose estimation, the user-assistant modeling approach is used based on a half-edge data structure. For accuracy and validity in the approach, some experimental results are shown.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Vision and Pattern Recognition
Authors
Kyung Ho Jang, Soon Ki Jung,