面向顾客特征的眼镜适配系统

提出了顾客特征的概念,并运用于眼镜适配系统中．该系统使用顾客头部的正侧面照片合成人脸三维模型,并选取眼镜库中的三维眼镜模型在人脸模型上进行虚拟试戴,可以帮助顾客快速、准确地完成眼镜框架款式的选型,为眼镜产品的个性化设计和销售提供了支持．     

绿色质量机能展开中工程特征权重的计算方法

在绿色质量机能展开(QFDE)方法中,精确计算工程特征的权重有利于更好地设计产品的功能和绿色性能,为此应用可拓工程方法提出一种能够考虑不同专家意见和多种影响因素的工程特征权重计算方法.将不同专家对顾客与环境需求和工程特征之间映射关系的模糊性判断表达为一个可拓区间数,运用可拓层次分析法将该可拓区间数转化为确定的权重值;在工程特征权重计算的质量屋中,同时考虑顾客与环境需求和工程特征之间的映射关系、需求项之间的自相关关系、与竞争对手之间需求项的竞争性关系、工程特征之间的自相关关系4种关系权重.该方法全面考虑了工程特征的各种影响因素及其模糊性,使计算获得的工程特征权重能够准确地反映顾客与环境需求;以此设计的产品既有绿色环保性,也具有竞争性.最后用一个实例说明了文中方法的实现流程和可行性.     

基于实体模型的产品形状特征识别

依据实体造型的特点,从模型空间的特征层入手,搜寻模型空间中的简单形状特征,并根据造型特点获取单个特征在零件模型上的几何拓扑关系,从而实现形状特征的自动识别.通过分析特征实体造型,提出一种基于实体模型的产品形状特征识别方法,并结合微波器件产品开发特征参数提取模块,实现复杂零件模型形状特征的自动识别与提取.该方法为快速建立企业零件库提供途径,也为网络环境下的协同设计和数据共享奠定基础.     

故障诊断系统中的冗余特征处理

特征参数是故障诊断的基础和关键,然而特征参数中总是存在很多冗余特征,影响故障诊断的准确率;根据设备的结构特点提出了基于故障树分解的冗余特征处理方法;首先,采用基于分类的粗糙集算法对不同部件的冗余特征进行约简,根据故障树结构分层处理;进而采用Apriori算法挖掘隶属于同一父节点的部件的频繁特征,降低不同部件特征参数的相关性;仿真实验证明,对原始特征进行冗余处理后,故障诊断系统的性能有较大提高。     

支持大批量定制的产品配置设计系统的研究

针对大批量定制生产的特点，提出基于产品功能结构单元的产品配置模板来完成对客户配置需求的快速响应，给出了产品配置模板的信息模型和配置求解策略．由于机械产品结构的复杂性，引入配置设计知识的混合表达方法以适应不同产品设计类型的要求．最后给出基于产品配置模板信息模型的配置设计系统的实例．     

基于QFD 的产品两次创新设计方法

面对激烈的市场行业竞争,产品应当满足用户需求且具有应用创新性的状况,基于对 用户需求和影响两次创新的主要因素的分析,提出了基于质量功能展开理论(QFD)的产品两级创新 设计方法。该设计方法通发掘用户对目标产品的需求,运用QFD 分析顾客需求并结合两创新级用 户因素,建立基于QFD 的产品创新设计模型和实现步骤,从而准确地得到相应的技术解决途径和 方案。并在此方法上通过电动滑板车的设计实例,验证该设计方法和流程的实用性和科学性。     

消费心理学与产品创新设计

设计产品的目的是人,产品被设计生产销售后,需要得到顾客消费者的认可购买,满足消费者的各种需要。本文从消费心理学的需要理论出发,分析了不同消费动机对产品的不同需求,提出了基于消费心理学的产品创新设计模式,对产品创新设计方法进行了探讨。     

不确定性顾客需求的产品优选方法研究

提出了一种基于顾客不确定需求的产品优选方法。该方法首先将模糊的顾客需求表示为三角模糊数形式,通过相似度计算构造决策矩阵,计算待选产品的综合效用值,并给出排序,为顾客选择产品提供理论参考依据。最后,以数码相机为例验证该方法的有效性和可行性。     

基于美学特征的参数化产品外形设计及其美学评价

运用形态控制参数表达产品的形态要素,提出一种基于美学特征的工业缝纫机参数化外形设计方法.修改模型特征参数,可生成不同形态的缝纫机外形;将模型特征参数及对应的美学评价结果作为训练样本,构建了基于神经网络的美学评价系统.最后利用该评价系统给出了最佳美学评价指标下的缝纫机外形模型.     

基于虚拟原型的产品建模与特征生成方法研究

本文着重研究虚拟原型技术中的两个关键问题 :产品概念设计建模、虚拟特征生成及其主要实现技术。给出了相关概念的定义与解释 ,深入分析了基于虚拟原型的概念设计需求和特点 ,介绍了基于虚拟原型的概念设计描述方法和设计过程。在分析虚拟原型的特征分类以及概念设计过程特点的基础上 ,提出一种基于虚拟原型的概念设计描述模型Ｖ ｄｅｓＭｏｄｅｌ,其核心特点是采用产品视图模型描述设计对象 ,将虚拟特征概念融入视图模型中 ,并采用可扩展“三维实体 约束图”描述设计对象之间的约束关系。Ｖ ｄｅｓＭｏｄｅｌ能有效地支持基于虚拟原型的…     

Evaluating the effect of interactions between appearance-related product designs and facial characteristics on social affectivity

For products that can improve the appearance of the user, such as facial accessories, both the characteristics of the product user and design features must be considered in design evaluation. This paper proposes an experimental evaluation scheme that investigates the interactions between the design features of 3D eyeglasses frames and user facial characteristics. Face models of users containing both geometric and image data were constructed using 3D scanning. A face deformation method was developed to manipulate individual facial features without changing the other features on the face models. In the evaluation scheme, participants judged synthetic faces, which had varied eye distances and orientations and were wearing factorized eyeglasses frames, according to three affective measures related to the personality attributes of confidence, friendliness, and attractiveness. The experimental results show that changing certain design features influences the impressions of the face models with varied facial characteristics. The proposed scheme facilitates designing products that strengthen the impression of specific personality traits by accommodating individual differences in facial features.Relevance to industryThe evaluation scheme proposed in this paper facilitates designing products that strengthen the impression of specific personality traits by accommodating individual differences in facial features. By the scheme, companies can create products and services that satisfy individual customer requirements of personalized design.     

眼镜遮挡下的正面人脸识别

针对眼镜遮档对人脸识别影响较大这一问题,提出一种从正面人脸图像中提取并摘除眼镜的方法。首先利用主成分分析和独立成分分析法对输入的戴眼镜人脸进行重建,对比重建人脸和输入人脸,从而提取眼镜遮档区域;然后经过迭代误差补偿合成相应的无眼镜人脸;最后考虑到合成图像的特殊性,使用改进的特征加权方法实现人脸识别。实验结果表明,利用提出的人脸重建和特征加权方法进行戴眼镜人脸识别,正确率可以达到91%,优于传统方法。     

An interactive clothing design and personalized virtual display system

An interactive clothing design and a personalized virtual display with user’s own face are presented in this paper to meet the requirement of personalized clothing customization. A customer interactive clothing design approach based on genetic engineering ideas is analyzed by taking suit as an example. Thus, customers could rearrange the clothing style elements, chose available color, fabric and come up with their own personalized suit style. A web 3D customization prototype system of personalized clothing is developed based on the Unity3D and VR technology. The layout of the structure and functions combined with the flow of the system are given. Practical issues such as 3D face scanning, suit style design, fabric selection, and accessory choices are addressed also. Tests to the prototype system indicate that it could show realistic clothing and fabric effect and offer effective visual and customization experience to users.

     

Incorporating customer personalization preferences in open product architecture design

Open product architecture is a key enabler for product personalization, as it allows the integration of personalized modules in a product architecture to satisfy individual customer needs and preference. A critical challenge for integrating personalized modules into a product architecture is determining the optimal assembly architecture when considering market expectations and manufacturing constraints. In this paper, an optimization method is proposed for determining the personalized product design architecture that incorporates individual customer preferences. First, a decision hierarchy is presented to describe the integrated design decisions of the product architecture, including product variety determination, module variant selection, and personalized module configuration. Next, a profit model is formulated as an overall performance metric that incorporates customer preferences and manufacturing cost. The systematic patterns and randomness of diverse customer preferences are modeled by combining conjoint analysis and market segmentation with a multivariate normal mixture model. Individual customer product utilities in the target market and their product purchase intent probability are estimated through Monte-Carlo simulation, which is incorporated into the profit calculation. Manufacturing limitations on processes and materials are included as they influence manufacturer’s planning on candidate module variants and production strategies of personalized modules. These models are used to determine a product family architecture that maximizes profit by optimally determining its offering of product variants, module combinations, and personalized module configuration through a genetic algorithm. The proposed method is demonstrated by a personalized bicycle architecture design example.     

一种基于遮挡区域补偿的眼镜去除方法

为了提高戴眼镜人脸图像的识别率, 提出了一种从人脸图像中检测并去除眼镜的方法。首先对输入的戴眼镜人脸图像与系统预留的无眼镜人脸图像进行基于人眼位置的标定, 检测出眼镜遮挡区域, 再用无眼镜人脸图像中对应的遮挡区域对戴眼镜人脸图像进行补偿, 从而合成了对应输入图像的不戴眼镜的人脸图像。实验结果表明, 该方法能有效地合成无眼镜人脸图像, 将合成后的人脸图像再应用于人脸识别系统, 识别率显著提高。     

Human-centric design personalization of 3D glasses frame in markerless augmented reality

This paper presents a virtual try-on system based on augmented reality for design personalization of facial accessory products. The system offers several novel functions that support real-time evaluation and modification of eyeglasses frame. 3D glasses model is embedded within video stream of the person who is wearing the glasses. Machine learning algorithms are developed for instantaneous tracking of facial features without use of markers. The tracking result enables continuously positioning of the glasses model on the user’s face while it is moving during the try-on process. In addition to color and texture, the user can instantly modify the glasses shape through simple semantic parameters. These functions not only facilitate evaluating products highly interactive with human users, but also engage them in the design process. This work has thus implemented the concept of human-centric design personalization.     

面向柔性客户需求的产品变型设计方法

针对柔性的客户定制需求,提出充分重用零件实例的产品变型设计方法.通过分析零件实例重用引起的尺寸约束冲突,提出基于尺寸变化概率和零件变型需求的尺寸约束冲突转移与延迟解决方案,并给出了尺寸变化概率和零件变型需求的统计模型;然后针对零件实例重用引起的客户需求损失提出定制特征指标的补偿作用,并以田口质量损失函数为基础构建了改进的客户需求损失综合模型.最后通过一个实例进行了验证,结果表明在产品变型设计过程中,选择对客户需求影响小的零件实例作为重用对象,可以实现在满足客户需求的同时有效地降低定制产品的成本、缩短交货期.     

基于张量分析的表情特征提取

表情识别的性能依赖于所提取表情特征的有效性,现有方法提取的表情基本上是人脸与表情的融合体,然而不同个体的人脸差异是表情识别的主要干扰因素。在表情识别时,理想情况是将个体相关的人脸特征和与个体无关的表情特征相分离。针对此问题,在三维空间建立人脸张量;然后用张量分析的方法将人脸特征与表情特征进行分离,使获取的表情参数与人脸无关。从而排除不同个体的人脸差异对表情识别的干扰。最后,在JAFFE表情数据库上验证了该方法的有效性。     

基于DCNN的人脸特征点检测及面部朝向计算

在介绍人脸特征点检测的理论知识的基础上,提出了一种基于深层卷积神经网络（Deep Convolutional Neural Network,DCNN）解决人脸5点特征点（眼角、鼻子、嘴角）预测问题的方法。通过添加更多的卷积层稳定地增加网络的深度,并且在所有层中使用3×3的卷积滤波器,有效减小参数,更好地解决了人脸特征点检测问题。然后计算双眼角与嘴角所成平面与正视时此平面的单应性矩阵,最后利用等效算法求解驾驶员面部转角。实验结果表明,面部特征点检测准确率达到97.96%,算法在角度判断上的误差是1°~5°,这证明了该算法对注意力分散监测的有效性。     

Facial model estimation from stereo/mono image sequence

Facial model coding is an integral part in MPEG-4 related applications. The generation of the facial model usually requires stereoscopic view of the face in the pre-processing stage. Although facial model can be successfully estimated from two stereo facial images, the occlusion effect and imprecise location of the feature point prohibit obtaining an accurate facial model. In this paper, several facial model estimation (FME) algorithms are proposed in order to find the precise facial model from a stereo or mono image sequence. Since a sequence of images is used to find the facial model, the problem of occlusion effects is less serious. An accurate facial model (within 7.21% error) can still be obtained by our schemes, even without the prior information on the three-dimensional position of the head with respect to the camera and the rotation axis/angle of the head's movement. This is the largest error of all FME algorithms presented in this paper when the subject does not wear eyeglasses. In addition, our schemes do not require precise camera parameters and avoid tedious camera calibration, thereby, simplifying the facial model extraction.