Optimal Sampling for Shape from Focus by Using Gaussian Process Regression | IEEE Conference Publication | IEEE Xplore

Optimal Sampling for Shape from Focus by Using Gaussian Process Regression


Abstract:

Shape from Focus (SFF) is one of passive optical methods for estimating 3D shape of an object. In SFF, a large number of 2D images with different focus levels are require...Show More

Abstract:

Shape from Focus (SFF) is one of passive optical methods for estimating 3D shape of an object. In SFF, a large number of 2D images with different focus levels are required. The number of images may affect the complexity and the accuracy of the results. In this manuscript, a Gaussian process regression (GPR) method is proposed to get 3D shape from the minimum number of 2D images. The proposed method (SFF.GPR) is applied to fit focus curves, which are obtained by applying one of focus measure operators. Experimental results demonstrate the effectiveness of the proposed method.
Date of Conference: 04-06 January 2020
Date Added to IEEE Xplore: 23 March 2020
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Conference Location: Las Vegas, NV, USA

References

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