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首页> 外文会议>Advances in Multimedia Information Processing - PCM 2008 >Multi-projector Calibration and Alignment Using Flatness Analysis for Irregular-Shape Surfaces
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Multi-projector Calibration and Alignment Using Flatness Analysis for Irregular-Shape Surfaces

机译：使用不平整形状表面的平坦度分析进行多投影仪校准和对准

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摘要

A multi-projector calibration and alignment method, which has no assumptions on projection surfaces' shape, is presented. Based on surface flatness analysis, the method will automatically partition the projection surface into pieces, more at none flat regions and less at flat ones, as flat region will cause less distortions. Corresponding to these pieces, an image will first be cut into some sub-images, and then projected onto the surfaces using texture warping method. The principle which ensures the inner projector distortion correction is proved, that is if a camera captures an undistorted projected image, human eye will also observe an undistorted one at that spot. Multi-projector alignment is achieved by projecting images which are rendered according to the camera's extrinsic parameters during the course of coded structured light capturing. Because the camera can capture a wide field of view area by moving and rotating itself, the alignment method has a build-in support for scalability in view filed. The whole work of calibration and alignment can be done in a single camera capture process. Results show that the proposed method is efficient and robust.
机译：提出了一种多投影仪校准和对准方法，该方法无需对投影表面的形状进行任何假设。基于表面平整度分析，该方法将自动将投影表面分成多个部分，在没有平坦区域的情况下更多，而在平坦区域的则更少，因为平坦区域将导致更少的变形。对应于这些片段，图像将首先被切割成一些子图像，然后使用纹理翘曲方法投影到表面上。证明了确保投影机内部失真校正的原理，即，如果摄像机捕获到未失真的投影图像，则人眼还将在该点观察到未失真的图像。通过投影在编码的结构化光捕获过程中根据相机的外部参数渲染的图像，可以实现多投影仪对齐。由于摄像机可以通过自身移动和旋转来捕获广阔的视野，因此对齐方法内置了对视野扩展性的支持。校准和对准的整个工作可以在单个摄像机捕获过程中完成。结果表明，该方法是有效且鲁棒的。

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