浅谈ILLUSTRATOR教学中“外观面板”的用法

在Illustrator教学中,"外观面板"的作用是非常重要的,但在大多数教材中涉及实例及用法太少."外观面板"在对象的样式控制方面有着神奇的功能,"外观面板"中的每一项都是活动的,这意味着你可以随时更改它们。掌握好"外观面板"的使用,可以高效高质量的完成设计任务。     

古代刀剑的外观处理技术

古代刀剑的表面处理方法有:硫化处理;铬盐氧化;错金;镶嵌;髹;失蜡和包金等,用以增进功能,装饰外表,达到保护防腐蚀的效果.     

Dynamic Shape and Appearance Modeling via Moving and Deforming Layers

We propose a model of the shape, motion and appearance of a scene, seen through a sequence of images, that captures occlusions, scene deformations, unconstrained viewpoint variations and changes in its radiance. This model is based on a collection of overlapping layers that can move and deform, each supporting an intensity function that can change over time. We discuss the generality and limitations of this model in relation to existing ones such as traditional optical flow or motion segmentation, layers, deformable templates and deformotion. We then illustrate how this model can be used for inference of shape, motion, deformation and appearance of the scene from a collection of images. The layering structure allows for automatic inpainting of partially occluded regions. We illustrate the model on synthetic and real sequences where existing schemes fail, and show how suitable choices of constants in the model yield existing schemes, from optical flow to motion segmentation and inpainting.     

Learning a generic 3D face model from 2D image databases using incremental Structure-from-Motion

Over the last decade 3D face models have been extensively used in many applications such as face recognition, facial animation and facial expression analysis. 3D Morphable Models (MMs) have become a popular tool to build and fit 3D face models to images. Critical to the success of MMs is the ability to build a generic 3D face model. Major limitations in the MMs building process are: (1) collecting 3D data usually involves the use of expensive laser scans and complex capture setups, (2) the number of available 3D databases is limited, and typically there is a lack of expression variability and (3) finding correspondences and registering the 3D model is a labor intensive and error prone process.     

Fruit Senescence and Decay Simulation

Aging and imperfections provide important visual cues for realism. We present a novel physically‐based approach for simulating the biological aging and decay process in fruits. This method simulates interactions between multiple processes. Our biologically‐derived, reaction‐diffusion model generates growth patterns for areas of fungal and bacterial infection. Fungal colony spread and propagation is affected by both bacterial growth and nutrient depletion. This process changes the physical properties of the surface of the fruit as well as its internal volume substrate. The fruit is physically simulated with parameters such as skin thickness and porosity, water content, flesh rigidity, ambient temperature, humidity, and proximity to other surfaces. Our model produces a simulation that closely mirrors the progression of decay in real fruits under similar parameterized conditions. Additionally, we provide a tool that allows artists to customize the input of the program to produce generalized fruit simulations.     

Face tracking with automatic model construction

This paper describes an active model with a robust texture model built on-line. The model uses one camera and it is able to operate without active illumination. The texture model is defined by a series of clusters, which are built in a video sequence using previously encountered samples. This model is used to search for the corresponding element in the following frames. An on-line clustering method, named leaderP is described and evaluated on an application of face tracking. A 20-point shape model is used. This model is built offline, and a robust fitting function is used to restrict the position of the points. Our proposal is to serve as one of the stages in a driver monitoring system. To test it, a new set of sequences of drivers recorded outdoors and in a realistic simulator has been compiled. Experimental results for typical outdoor driving scenarios, with frequent head movement, turns and occlusions are presented. Our approach is tested and compared with the Simultaneous Modeling and Tracking (SMAT) [1], and the recently presented Stacked Trimmed Active Shape Model (STASM) [2], and shows better results than SMAT and similar fitting error levels to STASM, with much faster execution times and improved robustness.     

基于AAM和T型结构的人脸3D姿态估计

在分析已有的人脸姿态估计方法基础上,提出了一种基于主动表观模型(AAM)和T型结构的人脸3D姿态估计方法。对多姿态的人脸样本进行训练,得到多姿态的AAM模板集;利用训练得到的多姿态的AAM模板集进行最佳模板匹配,并对人脸的特征点进行精确定位;用人脸的双眼和嘴部构建T型模型,进行人脸3D姿态的参数估计。实验结果表明,该方法能适应较大的姿态旋转角度,并具有良好的姿态估计精度。     

出现电势谱元素灵敏度的比较测定

对一些元素的出现电势谱（APS）进行了比较测定，给出了8种元素的APS相对灵敏度因子，那些具有较高空态密度的元素，如镧系元素、锕系元素和3d过渡金属中的大部分，其APS灵敏度较大。     

基于半动态外观模型的人脸识别

在进行人脸识别时,光照、表情、角度等因素的影响会大幅增加数据计算的时空复杂度。为此,提出一种新的图像外观统计模型,在动态形状模型中引入灰度共生矩阵(GLCM),通过计算图像形状对齐情况下的GLCM,建立半动态外观模型。基于ORL人脸数据库的实验结果表明,该模型相比动态外观模型,识别准确率更高,速度更快。