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排序方式: 共有242条查询结果,搜索用时 15 毫秒
1.
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。 相似文献
2.
古代刀剑的外观处理技术 总被引:1,自引:0,他引:1
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. 相似文献
3.
One of robot designers׳ main goals is to make robots as sociable as possible. Aside from improving robots׳ actual social functions, a great deal of effort is devoted to making them appear lifelike. This is often achieved by endowing the robot with an anthropomorphic body. However, psychological research on the perception of animacy suggests another crucial factor that might also contribute to attributions of animacy: movement characteristics. In the current study, we investigated how the combination of bodily appearance and movement characteristics of a robot can alter people׳s attributions of animacy, likability, trustworthiness, and unpleasantness. Participants played games of Tic-Tac-Toe against a robot which (1) either possessed a human form or did not, and (2) either exhibited smooth, lifelike movement or did not. Naturalistic motion was judged to be more animate than mechanical motion, but only when the robot resembled a human form. Naturalistic motion improved likeability regardless of the robot׳s appearance. Finally, a robot with a human form was rated as more disturbing when it moved naturalistically. Robot designers should be aware that movement characteristics play an important role in promoting robots׳ apparent animacy. 相似文献
4.
Jeremy D. Jackson Anthony J. Yezzi Stefano Soatto 《International Journal of Computer Vision》2008,79(1):71-84
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. 相似文献
5.
Jose Gonzalez-Mora Fernando De la Torre Nicolas Guil Emilio L. Zapata 《Image and vision computing》2010
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. 相似文献
6.
7.
Face recognition using Histograms of Oriented Gradients 总被引:2,自引:0,他引:2
8.
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. 相似文献
9.
Jesus Nuevo Luis M. Bergasa David F. Llorca Manuel Ocaña 《Image and vision computing》2011,29(4):209-218
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. 相似文献
10.
Multiple visual target tracking is a challenging problem due to various uncertainties including occlusion, miss-detection and noisy measurement. Most tracking approaches utilize an object-specific detector, pre-trained on many labeled images, to provide suitable measurements for their tracking system. In this paper, we use a simple background subtraction detector which only needs the background image to localize targets independent of their shape or type. In order to cope with the uncertainties resulted by the detector, we propose an adaptive appearance model and develop an incremental appearance learning algorithm to learn the target appearances in time. The proposed method employs the background information and our defined keypoints’ miss-matched history to adapt the target appearances within different frames. Furthermore, we combine Refined Gaussian Mixture Probability Hypothesis Density (RGM-PHD) tracker with the detectors to keep target trajectories and handle uncertainties. The experiments conducted on several video datasets show the effectiveness of our proposed method. 相似文献