Geometrical Compensation Algorithm of Multiview Image for Arc Multi-camera Arrays

In this paper, we propose a geometrical compensation algorithm for multiview image captured by an arc multi-camera array. To capture multiview image or multiview video, we require more than two cameras arranged on a multicamera array. This multi-camera array, however, has geometrical errors since it is manually built. These errors are related to the mismatch in the vertical and horizontal directions among images and irregular camera rotations. Also, these errors become serious obstructions to implement many three-dimensional (3-D) or multiview image processing and applications such as depth map estimation and intermediate view generation. Therefore, it is required to compensate geometrical errors in multiview image. Our proposed algorithm simultaneously adjusts positions, orientations, and internal characteristics of cameras arranged on an arc multi-camera array. Experimental results show that this algorithm reduced the vertical mismatch in pixels among images. In addition, there were equal horizontal disparities and equal angles between two cameras, respectively.