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攝像機(jī)參數(shù)的三線性插值誤差補(bǔ)償標(biāo)定方法
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    摘要:

    提出了一種攝像機(jī)標(biāo)定方法并應(yīng)用于某轎車翼子板的非接觸檢測,。該方法通過虛擬靶標(biāo)構(gòu)建空間點(diǎn)陣，應(yīng)用SUNSAN算子準(zhǔn)確提取角點(diǎn)坐標(biāo),，并代入攝像機(jī)模型,，逆向求解空間點(diǎn)的坐標(biāo)及與真實坐標(biāo)的誤差值，以此誤差作為判斷依據(jù),，通過迭代更新求解攝像機(jī)參數(shù),，直到平均誤差小于某一預(yù)定值，然后基于空間三線性插值算法進(jìn)行誤差補(bǔ)償,，從而求解待測點(diǎn)的誤差,。實驗證明此方法計算迅速、穩(wěn)定,、準(zhǔn)確,，檢測精度達(dá)到亞像素級。

    Abstract:

    A camera calibration method was put forward and applied to non-contacting detection for the front fender of a car. The spatial lattice has been constructed by using virtual target and the corner coordinates were extracted with SUSAN operator. In order to acquire the camera parameters, the corner coordinates have been brought into the camera model and the coordinates and error of these points were obtained. An iterative algorithm was presented to correct all the parameters till the error within the permission. The error compensation was performed by using tri-linear interpolation. The experiment showed that the method is rapid and has high stability and accuracy, and its precision is up to subpixel. 

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崔岸,劉業(yè)峰,袁智,王龍山.攝像機(jī)參數(shù)的三線性插值誤差補(bǔ)償標(biāo)定方法[J].農(nóng)業(yè)機(jī)械學(xué)報,2008,39(10):187-190.[J]. Transactions of the Chinese Society for Agricultural Machinery,2008,39(10):187-190.

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