An admissible minimax estimator of a bounded scale-parameter in a subclass of the exponential family under scale-invariant squared-error loss

A subclass of the scale-parameter exponential family is considered and for the rth power of the scale parameter, which is lower bounded, an admissible minimax estimator under scale-invariant squared-error loss is presented. Also, an admissible minimax estimator of a lower-bounded parameter in the family of transformed chi-square distributions is given. These estimators are the pointwise limits of a sequence of Bayes estimators. Some examples are given.     

基于统计学习优化SIFT的面部遮挡人脸识别

针对传统的人脸识别算法受面部遮挡的影响导致很难兼顾鲁棒性和保持原始图像核心信息的问题,本文提出了一种基于统计学习优化尺度不变特征变换的面部遮挡人脸识别算法。首先,利用SIFT将所有给定训练图像用一组局部特征描述符表示出来;然后,通过执行统计学习获得正常脸部图像SIFT特征的概率分布函数,利用获得的概率分布函数在新观察到的测试图像中检测异常SIFT特征;最后,计算测试图像与训练图像之间的相似度,并利用K近邻分类器完成人脸识别。在AR人脸数据库上的实验验证了本文算法的有效性及可靠性,实验结果表明,相比其它几种较为先进的人脸识别算法,本文算法取得了更强的识别鲁棒性。     

Adaptive optics retinal image registration from scale-invariant feature transform

With the use of adaptive optics(AO), high-resolution microscopic imaging of the living human retina in the single cell level has been achieved. In an AO retinal imaging system, with a small field size (about 1°, 300 μm) the motion of the eye severely affects the stabilization of the real-time video images results in significant distortions of the retina images. Scale-invariant feature transform (SIFT) algorithm is applied to automatically abstract corner points with subpixel resolution and match the points in two frames. With the matched corner points, we estimate and remove the motions of 20 frames of photoreceptor cells and capillary blood vessels, respectively. The maximal translational motion is about 30 and 44 pixels in the 20 frames whose size is 416 × 416 pixels. More general motions can be considered by the SIFT algorithm, but only simple translational motion can be considered by cross-correlation algorithm.     

汉语普通话语音的分形特性及其盒维数的统计分析

本文应用分形理论来研究汉语普通话语音的分形特性。通过计算和统计分析汉语男女声21种声母和38种韵母语音信号时域波形的分形盒维数,得到了汉语语音信号分形维数在维数空间上的分布规律。实验结果表明,汉语语音信号具有分形标度不变性,分形维数能够反映语音信号时域波形的复杂程度。     

基于SIFT特征匹配的全自动辐射归一化算法

分析了辐射归一化在遥感、航测领域中的重要性,针对辐射归一化线性校正法进行了研究,并提出了一种非人工干预、自动化程度高的基于SIFT(尺度不变特征Scale-Invariant Feature Transform)特征匹配的辐射归一化新方法。通过实验发现,基于SIFT特征匹配的辐射归一化方法能够减少由于大气、照度和传感器差异带来的辐射误差,与传统的方法相比具有结果稳定、自动化程度高的特点.