2013 Volume 133 Issue 1 Pages 103-110
In this paper we propose a method for 3D scene change detection. We particularly target the case when a 3D scene can be changed by disasters and accidents. Assuming that there is a 3D point cloud of the 3D scene reconstructed before the change by using a set of training images, the camera positions of newly taken query images with small changes can be estimated. To find a region of change in the query images, first, the nearest image of a query image is selected from the training images. Then, the matching between the query image and the nearest images is computed for finding a set of non-matching points as a region of change. These change regions are visualized by projecting 3D points back only to those regions. Experimental results show that our method can detect change areas correctly.
The transactions of the Institute of Electrical Engineers of Japan.C
The Journal of the Institute of Electrical Engineers of Japan