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首页> 外文会议>IEEE Conference on Computer Vision and Pattern Recognition Workshops >Light Field Convergency: Implicit Photometric Consistency on Transparent Surface
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Light Field Convergency: Implicit Photometric Consistency on Transparent Surface

机译：光场收敛：透明表面上的隐式光度符合

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摘要

This paper proposes a method for estimating the surface of transparent objects based on light field convergency. The light field convergency represents the degree of convergence of the light field at each point. The proposed method utilizes local photo consistency, which is one of characteristics of the light field convergency. Around a boundary contour, a point that is visible from viewpoints with a small convergence angle is locally consistent. In other words, the local photo consistency is implicitly maintained near the boundary contour. We use a light field camera as a camera array with small convergence angles to estimate the surface of the transparent object. Experimental results have demonstrated that the depth of the transparent object is estimated from the captured image by the light field camera.
机译：本文提出了一种基于光场收敛估计透明物体表面的方法。光场收敛表示每个点处的光场的收敛程度。所提出的方法利用本地照片一致性，这是光场聚的特征之一。在边界轮廓周围，从具有小收敛角的观点来看可见的点是本地一致的。换句话说，在边界轮廓附近隐式地保持本地照片一致性。我们使用轻场相机作为相机阵列，具有小的收敛角度，以估计透明对象的表面。实验结果表明，通过光场相机从捕获的图像估计透明对象的深度。

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