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    首頁> 外文會議>Unmanned/Unattended Sensors and Sensor Networks II >Three Dimension Holographic Image Sensing and Recognition using Bayesian Receivers
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    Three Dimension Holographic Image Sensing and Recognition using Bayesian Receivers

    機譯:貝葉斯接收機的三維全息圖像傳感與識別

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    摘要

    We propose a statistical approach to detect a three-dimensional object using digital holography. The proposed algorithm uses the statistical properties of the speckle noise to find a probabilistic model for the likelihood function of the presence of the three-dimensional object in the scene. Phase shifting holography is used to generate the optical hologram of the 3D object and inverse Fresnel diffraction is used to reconstruct the 3D object. The complex wave generated from the inverse Fresnel integral is used as an input to the proposed algorithm. We show that the reconstructed 3D scene can be modeled as an object buried in a background complex Gaussian noise and the object is multiplied by a complex Gaussian noise. Analytical analysis and simulations show that the proposed technique is able detect the three dimensional coordinates of the distorted target object.
    機譯:我們提出一種使用數字全息技術檢測三維物體的統計方法。所提出的算法利用斑點噪聲的統計特性來找到場景中三維物體存在的似然函數的概率模型。相移全息術用于生成3D對象的光學全息圖,菲涅耳逆衍射用于重建3D對象。由反菲涅耳積分產生的復波被用作所提出算法的輸入。我們表明,可以將重建的3D場景建模為埋在背景復雜高斯噪聲中的對象,然后將該對象乘以復雜的高斯噪聲。分析分析和仿真表明,該技術能夠檢測出變形目標物體的三維坐標。

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