A Flexible New Technique for Camera Calibration
IEEE Transactions on Pattern Analysis and Machine Intelligence
A compact algorithm for rectification of stereo pairs
Machine Vision and Applications
Multiple View Geometry in Computer Vision
Multiple View Geometry in Computer Vision
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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 multi-camera 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.