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Comparison of methods for 3D laser calibration

Depth estimation using a laser-based vision system requires calibration of both the laser and the camera. A Least-Square Error (LSE) method is compared with a geometric calibration. The LSE method incorporates the inherent non-linear behavior of lasers, while the geometric method does not. Therefore, the LSE method results in a smaller average error. The same LSE method can also be used for camera calibration. Using the calibrated laser and the calibrated camera, the depth map of a 3-D curved surface is obtained, using striped laser lines as a structured lighting source. This paper also proposes an easy way of solving the point correspondence problem.