Hand-Eye Calibration using Multilinear Constraints

The hand-eye calibration problem is a fairly well studied problem. Most methods are related to those proposed by Tsai and Lenz. Here a novel method is introduced that uses multilinear constraints to eliminate the problem of solving for structure and motion. The method is based on tracked interest points. The method is non-iterative involving only low cost operations. The method has been tested on both simulated and real data.

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