MRF线过程模型的参数估计

Proceedings 1992 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Pub Date : 1992-06-15 DOI:10.1109/CVPR.1992.223140

S. Nadabar, Anil K. Jain

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引用次数: 17

摘要

提出了一种利用场景中物体的几何CAD模型估计马尔可夫随机场(MRF)线过程参数的方案。这些模型用于从随机视点生成物体的合成图像。将合成图像计算得到的边缘映射作为训练样本，利用最小二乘法估计直线过程参数。结果表明，该参数估计方法可用于距离图像和强度图像的边缘检测。

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Parameter estimation in MRF line process models

A scheme for the estimation of the Markov random field (MRF) line process parameters that uses geometric CAD models of the objects in the scene is presented. The models are used to generate synthetic images of the objects from random viewpoints. The edge maps computed from the synthesized images are used as training samples to estimate the line process parameters using a least squares method. It is shown that this parameter estimation method is useful for detecting edges in range as well as intensity images.<>

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Proceedings 1992 IEEE Computer Society Conference on Computer Vision and Pattern Recognition

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