从圣·迪奥看服装品牌的终端视觉形象定位

服装品牌终端视觉形象的创建逐渐成为服装营销策略中越来越重要的一个部分。本文通过对不同顾客群体及品牌设计人员、专柜销售人员等进行相关访谈调查，确定其品牌的终端视觉形象风格定位，并对圣·迪奥的品牌终端视觉形象提出个人的观点，从而更加坚定服装品牌的整体设计中每一个环节、各个分支问的相互协调的重要意义，以及服装品牌终端视觉形象对于一个品牌发展的决定性作用。

面孔感知过程中的视觉完形负波

目的探讨大脑对不完整面孔进行视觉完形加工的神经基础。方法视觉刺激分两类:完整面孔图片和不完整面孔图片(遮盖了面孔的左上象限),随机呈现,在受试者完成性别判断作业的同时记录头皮事件相关电位。结果与完整面孔相比,不完整面孔在枕颞区诱发出了明显增大的N1波,并且存在着右侧偏侧化优势;与完整面孔相比,不完整面孔诱发的N2波的峰潜伏期延长。结论增大的N1与视觉完形加工有关,视觉完形加工需要消耗时间。

视觉造形之数位发展：影像撷取

视觉造形因为数字工具，发展突破了传统模式。造形表现在今天，不仅表达了创作者诉求巧思，更可以是传达进步的科技呈现。影像撷取技术出现，让视觉造形在设计应用范畴，加增了过去缺乏的有力工具。当影像撷取技术逐渐进步成熟之际，视觉造形在运用上亦延伸出许多创作机会。这种技术工具发挥于视觉艺术、造形表现、甚或互动展演等领域，将是造形研究有趣地扩展方向。本文针对影像撷取相关技术做一整理，探讨目前之应用与未来发展。造形思考方向需要如何因应调整，研发方式如何衔接数字时代之潮流变迁。

平面设计中的正负形视觉语言构成规律研究

正负形视觉语言作为一种巧妙的创意语言形式，利用图形的图与底的关系，使之呈现出一语双关、相互依存、相互转换的境界。文章通过分析总结出平面设计中的正负形视觉语言构成规律，包括正负形单形、组合构成规律，使更多的平面设计从业人员能科学地掌握并合理运用正负形视觉语言，激发创意思维，提升设计水平。

不同深度平面与表面的视知觉完形加工

以往有关视觉完形加工的研究主要探索同一深度平面内的相似纹理表面或相关轮廓特性等对完形加工的影响。该研究采用汉字碎块 ,考察了双眼视差、颜色以及遮挡等线索在视觉完形中的作用。发现结果如下 :视差与颜色等线索阻碍了视觉完形加工 ;遮挡线索加速了整体的视觉完形形成 ;在高级认知加工参与下 ,遮挡线索有效抑制了视差、颜色等线索的分离作用。通过对知觉填补机制及其理论的讨论 ,可以认为 ,该研究的结果为不同深度平面间的视知觉完形加工提供了实验支持。

帕金森病患者视觉功能障碍的研究

目的:探讨帕金森病患者视觉认知功能的变化。方法:选择从2008.01到2013.01期间在昆明医科大学第一附属医院神经内科就诊的H-Y分期为1或2期的帕金森病患者120例,男性76例,女性44例。和同期在我院进行健康检查的健康对照组100名,男性60例,女性40例。对所有患者进行MoCA、汉密顿抑郁和焦虑量表评价,所有受试者均不存在痴呆(MoCA≥26分),亦不处于焦虑、抑郁状态(HAMA≤14分,HAMD-17项≤16分),并进行班德视觉完形测验(Bender Visual Gestalt Test)和视觉诱发电位(VEP)检测。结果:PD组VEP的P100潜伏期(115±11)较健康对照组(103±9)ms明显延长(P<0.01),P100波幅(6.3±3.0)较健康对照组(7.7±2.6)μV增宽(P<0.05)。班德视觉完形测验PD组患者全球评分系统(Global Scoring System GSS)得分明显低于健康对照组,差异有统计学意义。结论:帕金森病患者在发病早期即存在不同程度的视觉功能障碍,对于此类患者,我们应该早期给予训练和指导,从而减缓患者认知功能障碍的发展和避免跌倒发作,提高患者的生活质量。

Review on the proceeding of automatic seedlings classification by computer vision

The classification of seedlings is important to ensure the viability of seedlings after transplantation and is acknowledged as a key factor in forestation and environmental improvement. Based on numerous papers on automatic seedling classification (ASC), the seedling grading theory, traditional grading methods, the background and the proceeding of ASC techniques are described. The automation of the measurement of seedling morphological characteristics by photoelectric meters and computer vision is studied, and the automatic methods of the current grading systems are described respectively. And the further researches on ASC by computer vision are proposed.

平面设计中的汉字残缺设计

残缺汉字的意蕴美在于,它利用局部缺陷反衬出整体的亮点,从而构成残缺美。汉字的残缺设计应遵循整体性原则、知觉经验原则、简化原则和结构骨架原则,让观者在完形冲动的心理下补充完成残缺部分,从而实现设计主题的传达。

Estimation of Illuminant Direction and Albedo from Shading

Assuming uniform albedo and Lambertian surface for the imaging model, a new robust method for estimation of illuminant direction and albedo from shading is presented. If there is a singular point with maximum intensity in an image, the method use shading information of the singular point and its neighbors to estimate directly the elevation of illuminant direction, surface albedo, and the bias brightness. Some experiment results on synthetic images are given to illustrate the new approach is accurate and robust.

A morphology screen coding anti-counterfeiting method based on visual characteristics

A paper information anti-fake and tamper-proofing method based on human visual characteristics and morphol-ogy screen coding technology is proposed. Through controlling the distribution of mathematical morphology of screen dot-matrix,warning mark and information are hidden in the background texture. Because of the differ-ences between human vision and the duplicate characteristics of copy machine,warning mark which can not be discriminated by human eyes will emerge after copy. Tampered or fake certificates can be verified by compar-ing embedded information which is extracted from scanned image of certificate with plain text printed on the certificate. This method is applied in many bills and certificates. Experimental results show that the identifica-tion accuracy is above 98%

Fruit shape detection by level set

A novel approach for fruit shape detection in RGB space was proposed,which was based on fast level set and Chan-Vese model named as Modified Chan-Vese model(MCV) . This new algorithm is fast and suitable for fruit sorting because it does not need re-initializing. MCV has three advantages compared to the traditional methods. First,it provides a unified frame-work for detecting fruit shape boundary,and does not need any preprocessing even though the raw image is noisy or blurred. Second,if the fruit has different colors at the edges,it can detect perfect boundary. Third,it processed directly in color space without any transformations that may lose much information. The proposed method has been applied to fruit shape detection with promising result.

Prediction of Soil Depth from Digital Terrain Data by Integrating Statistical and Visual Approaches

Information about the spatial distribution of soil attributes is indispensable for many land resource management applications; however, the ability of soil maps to supply such information for modern modeling tools is questionable. The objectives of this study were to investigate the possibility of predicting soil depth using some terrain attributes derived from digital elevation models （DEMs） with geographic information systems （GIS） and to suggest an approach to predict other soil attributes. Soil depth was determined at 652 field observations over the A1-Muwaqqar Watershed （70 km2） in Jordan. Terrain attributes derived from 30-m resolution DEMs were utilized to predict soil depth. The results indicated that the use of multiple linear regression models within small watershed subdivisions enabled the prediction of soil depth with a difference of 50 cm for 77% of the field observations. The spatial distribution of the predicted soil depth was visually coincided and had good correlations with the spatial distribution of the classes amalgamating three terrain attributes, slope steepness, slope shape, and compound topographic index. These suggested that the modeling of soil-landscape relationships within small watershed subdivisions using the three terrain attributes was a promising approach to predict other soil attributes.

Imagery perspective among young athletes: Differentiation between external and internal visual imagery

Purpose： This study aimed to investigate the construct of external visual imagery （EVI） vs. internal visual imagery （IV/） by comparing the athletes＇ imagery ability with their levels of skill and types of sports. Methods： Seventy-two young athletes in open （n = 45） or closed （n = 27） sports and with different skill levels completed 2 custom-designed tasks. The EVI task involved the subject generating and visualizing the rotated images of different body parts, whereas the IVI task involved the subject visualizing himself or herself performing specific movements. Results： The significant Skill-Level x Sport Type interactions for the EVI task revealed that participants who specialized in open sports and had higher skill-levels had a higher accuracy rate as compared to the other subgroups. For the IVI task, the differences between the groups were less clear： those with higher skill-levels or open sports had a higher accuracy rate than those with lower skill-levels or closed sports. Conclusion： EVI involves the visualization of others and the environment, and would be relevant to higher skill-level athletes who engage in open sports. IVI, in contrast, tends to be more self-oriented and would be relevant for utilization by higher skill-level athletes regardless of sport type.

Perspective and Subjectivity： The Power of Images in Northamerican Short-Story Writing

The study is meant to describe the evolution of American short-story writing with patterns where visual images have become central and not peripheral for the understanding of stories. Hemingway＇s use of objective correlatives was a trace mark, and the literary editors at The New Yorker urged their writers to slow down the emphasis on movement and plot in order to recreate a certain mood which would favour the perception of objects, anecdotes, and details. The impressionistic device works very much in the same way that an advertisement would do. It is meant to persuade the audience. The apparently non-commitant vision of reality shows in fact the author＇s point of view. The apparent simplicity is meant for a very wide audience and its deepest meaning suggests the scope of the particular visual aids working at the deepest level of consciousness

IDENTIFICATION OF INPAINTED IMAGES AND NATURAL IMAGES FOR DIGITAL FORENSICS

Image forensics is a form of image analysis for finding out the condition of an image in the complete absence of any digital watermark or signature.It can be used to authenticate digital images and identify their sources.While the technology of exemplar-based inpainting provides an approach to remove objects from an image and play visual tricks.In this paper, as a first attempt, a method based on zero-connectivity feature and fuzzy membership is proposed to discriminate natural images from inpainted images.Firstly, zero-connectivity labeling is applied on block pairs to yield matching degree feature of all blocks in the region of suspicious, then the fuzzy memberships are computed and the tampered regions are identified by a cut set.Experimental results demonstrate the effectiveness of our method in detecting inpainted images.

Cinememory： Sexualized Trauma and Coming of Age in Holocaust-Related Israeli Films

Since 1978 Israeli Holocaust-related narrative films have associated the violence experienced during the Holocaust, including sexual violence, with the violence permeating Israeli society. In keeping with Marianne Hirsch＇s notion of ＂postmemory＂, this paper argues that cinema, as a visual form of artistic mediation, has an especially strong impact on the spectator, because it triggers affective, tactile, and bodily responses. Hence, the efficacy of generating an ethics of remembrance of sexually-related violence, based on cinematic aesthetics, which the author terms here ＂cinememory＂. The paper focuses on a sub-genre of Holocaust-related films： coming-of-age films, which explore in different ways the lasting implications of growing-up in the shadow of sexualized trauma; the unconscious transmission of memories and tactile experiences, related to the ubiquity of sexual violence during the Holocaust.

Visual positioning of rectangular lead components based on Harris corners and Zernike moments

With the increasing necessities for reliable printed circuit board(PCB) product, there has been a considerable demand for high speed and high precision vision positioning system. To locate a rectangular lead component with high accuracy and reliability, a new visual positioning method was introduced. Considering the limitations of Ghosal sub-pixel edge detection algorithm, an improved algorithm was proposed, in which Harris corner features were used to coarsely detect the edge points and Zernike moments were adopted to accurately detect the edge points. Besides, two formulas were developed to determine the edge intersections whose sub-pixel coordinates were calculated with bilinear interpolation and conjugate gradient method. The last experimental results show that the proposed method can detect the deflection and offset, and the detection errors are less than 0.04° and 0.02 pixels.

Fundamentals of Visualizing Communication Networks

The human brain is built to process complex visual impressions within milliseconds. In comparison with sequentially coded spoken language and written texts, we are capable of consuming graphical information at a high bandwidth in a parallel fashion, producing a picture worth more than a thousand words. Effective information visualization can be a powerful tool to capture people's attention and quickly communicate large amounts of data and complex information. This is particularly important in the context of communication data, which often describes entities (people, organizations) and their connections through communication. Visual analytics approaches can optimize the user-computer interaction to gain insights into communication networks and learn about their structures. Network visualization is a perfect instrument to better communicate the results of analysis. The precondition for effective information visualization and successful visual reasoning is the capability to draw "good" pictures. Even though communication networks are often large, including thousands or even millions of people, underlying visualization principles are identical to those used for visualizing smaller networks. In this article, you will learn about these principles, giving you the ability to assess the quality of network visualizations and to draw better network pictures by yourself.

Discrete element method analysis of lateral resistance of fouled ballast bed

The lateral resistance of sleeper plays an important role in ensuring the stability of a railway track, which may change in the operation of railway, due to the fouling in the ballast bed. In this work, discrete element method was adopted to investigate the effect of fouling on the lateral resistance of sleeper. The shape information of ballast was captured by method of three-dimensional vision reconstruction. In order to calibrate the mechanical parameters and verify the models, a lateral resistance field test was carried out by using a custom-made device. The contact force distributions in the different parts of sleeper as well as the interaction between ballast and sleeper were discussed in depth. The results show that fouling of ballast bed evidently reduces the lateral resistance of sleeper and the decreasing degree is also related to the fouled position of ballast bed, in the order of shoulder > bottom > side.Therefore, the effect of fouling, especially the fouling in the ballast shoulder, on the lateral resistance of sleeper, should be taken into account in ballast track maintenance work.