Spatial interest pixels (SIPs): useful low-level features of visual media data

Visual media data such as an image is the raw data representation for many important applications. Reducing the dimensionality of raw visual media data is desirable since high dimensionality degrades not only the effectiveness but also the efficiency of visual recognition algorithms. We present a comparative study on spatial interest pixels (SIPs), including eight-way (a novel SIP detector), Harris, and Lucas‐Kanade, whose extraction is considered as an important step in reducing the dimensionality of visual media data. With extensive case studies, we have shown the usefulness of SIPs as low-level features of visual media data. A class-preserving dimension reduction algorithm (using GSVD) is applied to further reduce the dimension of feature vectors based on SIPs. The experiments showed its superiority over PCA.

素描大师艺术的差异性表现与传承

契斯恰科夫与安格尔都是19世纪美术史上出现过的学院派素描大师,他们的素描作品影响着古今中外众多艺术学子．他们都强调素描的重要性,也师出同源,而他们后来的画风却融入了自己对素描艺术的理解,形成了彼此不同的差异表现．文中通过结合两人的艺术言论,对照两人素描作品中对绘画角度选择、表现手法、造型方式以及对形体塑造的理解和表达来探析一脉相承下的学院派素描大师的艺术差异性表现的原因和特色,旨在理清素描表现体系的差异．     

Reshaping 3D facial scans for facial appearance modeling and 3D facial expression analysis

3D face scans have been widely used for face modeling and analysis. Due to the fact that face scans provide variable point clouds across frames, they may not capture complete facial data or miss point-to-point correspondences across various facial scans, thus causing difficulties to use such data for analysis. This paper presents an efficient approach to representing facial shapes from face scans through the reconstruction of face models based on regional information and a generic model. A new approach for 3D feature detection and a hybrid approach using two vertex mapping algorithms, displacement mapping and point-to-surface mapping, and a regional blending algorithm are proposed to reconstruct the facial surface detail. The resulting models can represent individual facial shapes consistently and adaptively, establishing facial point correspondences across individual models. The accuracy of the generated models is evaluated quantitatively. The applicability of the models is validated through the application of 3D facial expression recognition using the static 3DFE and dynamic 4DFE databases. A comparison with the state of the art has also been reported.     

Minimized Thompson NFA

The problem of converting a regular expression to nondeterministic finite automaton (NFA) is a fundamental problem that has been well studied. However, the two basic construction algorithms: (1) Thompson, (2) McNaughton–Yamada and Glushkov, both have disadvantages. In this article: first, a ‘smart’ parsing algorithm is developed which constructs a parse tree with at most (3l???1) nodes form a regular expression with l literals; second, we propose an algorithm that works on the resulting NFA from Thompson's construction, eliminating as many auxiliary states as possible while maintaining Thompson's properties. It is shown that the resulting NFA is minimized. This means that no auxiliary states can be eliminated without violating the defining properties of Thompson NFA. The time and space requirements for the above algorithms are linear with respect to the length of the regular expression.     

枯草芽孢杆菌谷氨酰胺转氨酶的异源表达

以野生型枯草芽孢杆菌基因组DNA为模板,PCR扩增获得带有sD序列及谷氨酸棒状杆菌信号肽AS0949的BTG基因。将其与大肠杆菌-谷氨酸棒状杆菌穿梭表达载体pXMJ19连接,构建重组质粒pXMJ19-Sbtf转化谷氨酸棒状杆菌ATCC13032。经IPTG诱导后该重组茵发酵液具有交联酪蛋白的能力,表明该重组茵能够实现分泌表达。     

基于CorelDRAW软件的服装款式图表达——以男西装款式图绘制为例

服装款式图是服装设计师表达设计概念的一种重要的设计途径,CorelDRAW软件强大的工具组能够完美、快捷地完成服装款式的绘制与表达。结合男西装款式图案例,通过研究CorelDRAW X4的绘图功能,阐述了CorelDRAW软件在服装款式图绘制上的表达技巧。     

基于SNP基因型谱和表达谱的乳腺癌相关基因网络的构建

拟构建乳腺癌相关基因网络并从系统生物学角度解析乳腺癌发病的分子机制,采用基于SNP基因型谱和乳腺癌基因芯片表达谱数据分别进行全基因组关联分析和差异表达基因的筛选,并以此为基础构建乳腺癌相关基因网络,网络分析结果显示乳腺癌相关基因主要参与代谢、信号传导、蛋白质修饰等功能。该网络能够从系统层面上解释乳腺癌的遗传互作机制,并为研究其它复杂疾病提供一定的理论依据。     

miRNA研究的计算机方法

MicroRNAs(miRNAs)是一类最新发现能够调控基因表达的非编码RNA,其内源长大约为21～23个核苷酸。miRNAs通过直接剪切靶基因mRNAs或者抑制翻译在后转录水平调控基因表达。一系列研究表明,他们在细胞分化、细胞生长、细胞迁移和细胞凋亡中发挥重要作用。由于miRNAs研究的实验方法耗时、耗材和效率低,所以计算机方法成为了miRNAs研究的替代方法。大部分与miRNA研究相关的计算机方法可以分为三类:miRNAs基因识别、miRNAs靶基因预测和miRNA-mRNA调控模块的预测。归纳miRNAs基因识别、miRNAs靶基因预测和miRNA-mRNA调控模块预测的原理,提供在这个领域已经提出来的特定计算机方法。     

1~5轮LBlock的多项式表示及完全性分析

用统计测试方法分析密码算法的完全性存在误差。为此,利用符号计算软件Mathematica 7.0,以明文和密钥比特为自变量,得到LBlock分组密码第1轮~第5轮输出的多项式表达式,结果显示,LBlock第5轮输出的任何比特至多与45个明文比特、49个密钥比特有关,说明5轮LBlock还未达到完全性。     

PCB自动光学检测中Gerber文件的解析研究

为了在PCB自动光学检测中使用Gerber文件建立标准图像,提出了一种解析Gerber文件的方法.该方法在对Gerber文件的数据结构进行语法分析的基础上,采用正则表达式匹配,进行自上而下分析从而提取出所需信息,用Map内嵌链表的数据结构存储数据;然后计算出Gerber文件所描述的图像并通过图形设备接口绘制;最后将各层图像进行腐蚀膨胀等处理并合成适用于PCB自动光学检测建标的图像.实验结果表明,该方法能快速准确地解析Gerber文件.