基于模型的立体视觉的优化方法

针对 3D视觉检测中最典型的误差源图像中像素的量化误差 ,在已知模型的条件下 ,对双目立体视觉提出一种模型。利用该优化模型及改进的约束最小二乘法对未知模型的立体视觉解法做一些改进 ,可以明显减小系统的误差。仿真结果表明 ,与未知模型的立体视觉方法相比 ,在同样的量化误差条件下 ,该方法可将系统误差减小 50 %以上。

An optimization strategy to reduce the error of model  based stereo caused by quantification of images was discussed, and the optimization strategy was introduced. One of the solution named advanced constrained least square approach was given. On this way, the normal stereo solution can be modified and the solution accuracy can be improved dramatically. The effectiveness of the approach has been confirmed by simulations. The simulated experiments show, by using this method, the measurement error of stereo vision can be reduced by a factor of 50%, and the distribution of the error can also be get better than other common calculation methods.

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