提出了一种基于表面法向的高斯混合模型的距离图像分割算法。
A range image segmentation algorithm based on Gaussian mixture model of surface normal is proposed.
文中给出了利用这种估计法对多分量混合一元高斯分布进行参数估计的实例。
Examples on the application of this algorithm are also given for estimating the parameters of the mixtures of M(M is a posivive integer) univariate Gaussian distributions.
由于室内存在多种物体，背景不断变化，且光照条件可能不断变化，提出采用人脸肤色的标准混合高斯模型与人眼特征相结合的人脸检测法，无需对原始图像进行尺度变换。
An effective and fast method of face detection for a service robot is proposed, which combines a mixture of Gaussian distribution model of skin tone color with eyes features.
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