【摘 要】
：
Images with human faces comprise an essential part in the imaging realm. Occlusion or damage in facial portions will bring a remarkable discomfort and information loss. We propose an algorithm that ca
【出 处】
：
Journal of Zhejiang University(Science A:An International Ap
论文部分内容阅读
Images with human faces comprise an essential part in the imaging realm. Occlusion or damage in facial portions will bring a remarkable discomfort and information loss. We propose an algorithm that can repair occluded or damaged facial images automatic
其他文献
The response of soil temperature and moisture to vegetative cover in the active layer of permafrost and seasonally frozen soil were assessed and compared. Soil temperature and moisture, under a range
针对现有的提取颅脑CT图像颅腔内结构算法自动性较差的问题,提出了一种新算法。该算法首先根据颅脑颅骨组织宽度大、灰度值高的特点,利用线性空间滤波方法提取颅脑颅骨的粗略轮廓;然后利用图像数学形态学方法和基于阈值的水平左右扫描算法,实现颅内组织的自动化分割;最后,通过对100例颅脑CT检查病例的图像进行实验,来验证算法的可行性。实验结果表明,该算法使99%具有完整颅骨环的颅腔内结构实现计算机自动化分割,
本文针对Hough变换方法在星空背景下弱小目标运动轨迹检测中所存在的短线段被淹没、峰值模糊化和线段无端点信息问题,对Hough变换算法中参数空间量化方式进行了改进,引入非均匀量化思想,提出了一种基于分块的非均匀Hough变换的轨迹检测方法。实验结果表明该方法既继承了传统Hough变换鲁棒的优点,同时又较好地克服了传统Hough变换的不足,从而有效地解决了星空背景图像中弱小运动目标轨迹检测问题。
三维人脸模型通常具有很高的分辨率,而且人脸表面特征分布具有不均匀性,需要对模型进行简化,去除冗余信息,提高计算效率。但是现有的模型简化算法在特征保持方面并不能令人满意。本文将基于曲率信息的三维顶点特征表示度量加入模型顶点收缩代价的估计过程,在简化模型的同时保留特征丰富区域的信息。同时,本文在边折叠过程中加入了检测与再折叠操作,解决了简化过程中出现的重叠三角面问题。实验表明,本算法能够在可靠地生成高
目前越来越大的平板探测器尺寸和越来越复杂的扫描轨道使得单次扫描的CT投影数据成倍地增加,这给数据存储和实时传输造成了很大的困难。本文提出了一种实时高效的CT投影数据无损压缩方案,通过整数小波变换、DPCM差分脉冲编码调制对投影数据进行去相关,并改进了Golumbo-R ice熵压缩编码方案。该方案在相对较低的计算复杂度下实现了高压缩比,为实时快速传输的实现提供了可能。文章对整个方案进行了详细的阐述
Protein structure prediction is one of the most impor-tant problems in structural biology. β-turns are always at the turn of a protein tertiary structure and thus β-turn’s prediction is a key step in
As mask features scale to smaller dimensions, the so-called "3-D mask effects" which have mostly been neglected before, become important. This paper properly models the 3-D thick mask effects, and the
A representation method using the non-symmetry and anti-packing model (NAM) for data compression of binary images is presented. The NAM representation algorithm is compared with the popular linear qua
指纹图像分割是自动指纹识别系统预处理中最关键的技术之一.精确、可靠地将指纹图像从背景中分割出来,能够加快后续工作的处理速度,提高识别算法的准确性.传统的分割算法需要大量已标记的指纹图像作为训练数据,但实际应用中获取标记样本比较繁琐和耗时.为综合利用已标记和未标记的指纹图像,提出一种基于协同训练的半监督指纹图像分割算法:CoSeg.该算法在基于像素水平的Coherence、Mean、Variace(
We present a derived grid-based model for the simulation of pedestrian flow. Interactions among pedestrians are considered as the result of forces within a certain neighbourhood. Unlike the social for