根据累计空间的不同,消失点检测方法可划分为有限空间检测和无限空间检测两大类。
According to the accumulator space, the method of vanishing point detection can be classified into two categories.
针对空间数据集的特性,提出一种基于空间局部偏离因子(SLDF)的离群点检测算法。
According to the characteristics of spatial data sets, this paper proposes an outlier detection algorithm based on the Space Local Deviation Factor (SLDF).
研究局部切空间排列方法(LTSA)对离群点的敏感性,提出一种基于离群点检测的鲁棒局部切空间排列方法(RLTSA)。
The paper focuses on the sensitivity of local tangent space alignment (LTSA) to outliers, and presents a robust local tangent space alignment (RLTSA) based on outlier detection.
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