Image Based Detection of 3D Scene Change

抄録

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.