浅谈FlashMX中面向对象的编程技术

Flash可以制作基于时间轴的简单的、线性的动画,更可以利用ActionScript编写代码,制作复杂动画。ActionScript是Flash的脚本语言。Flash在最近几年中发展历程中,已使它从一个简单的动画工具变成了强大的以代码为中心的开发环境。此外,ActionScript正在逐渐成为一种面向对象程序设计(OOP)语言。     

利用ActionScript3.0代码实现卡片翻转动画效果

随着Flash软件的发展和强大的ActionScript 3.0面向对象语言的推出,大大的提高了用Flash开发游戏的效率。通过卡片影片剪辑元件及其类文件的设计,介绍了利用ActionScript 3.0代码来实现卡片翻转动画效果的方法。     

使用ActionScript编写脚本

ActionScript是Flash的脚本语言。使用ActionScript可以给Flash动画添加交互性。我们可以对自己制作的动画进行设置,让用户事件(如按钮单击和按钮)触发脚本,告诉动画执行什么动作。例如,你可以编写一个脚本告诉Flash,依据用户选择的导航按钮,把不同的动画载入Flash播放器中。     

基于ActionScript下可旋转和缩放电子相册的开发实例

为了说明ActionScript具有强大的交互控制功能,运用Flash ActionScript实现对各种动画元件的灵活控制,制作出具有旋转和缩放功能的电子相册。给出一个电子相册框架,可以开发相关的链接对象,不断充实电子相册的内容。     

Flash ActionScript 2．0编程技术的研究

Flash是当前较流行的二维动画制作软件，除具备强大的动画制作功能外，随着Flash MX2004及ActionScript 2．0的发布，实现了较完整的面向对象编程模型，具备了开发大型应用程序的能力。文章介绍了Flash MX 2004的特点，分析了ActionScript 2．0的编程特性。     

Flash中利用ActionScript3.0实现图片像素级溶解过渡的效果

Flash是现在最流行的动画制作软件之一,它可以将文字、图形图像、音乐、声音、视频等融合在一起制作出高品质的动画效果。利用Flash制作的动画体积小、操作方便、娱乐性强,极易在网络中传播。文章主要在Flash CS3环境中利用ActionScript3.0脚本语言实现两种图片像素级溶解过渡的效果。     

基于ActionScript的多层嵌套枚举判别算法研究与实现

Flash是一款优秀的多媒体动画制作软件,随着其版本功能的不断提升,ActionScript脚本功能逐渐变得强大,能够满足多种游戏开发的需要。文章以一科普软件的开发为例,说明结合多层嵌套枚举判别等数据处理算法,Flash也可以进行复杂的运算,从而扩大了Flash ActionScript的应用范围。     

Flash MX ActionScript2．0的交互式课件库的开发

Flash MX是优秀的动画制作软件,结合ActionScript2．0可以制作强大的交互式课件。本文根据开发交互式课件库的实际经验,给出了进行交互课件库建设的一般制作流程,并制定了通用的8层5帧的课件开发模板。     

基于ActionScript3.0的认知能力训练游戏设计与实现

使用ActionScript3.0技术,并以Flash CS6为开发环境,设计并实现了一个提高认知速度的训练游戏,对制作中涉及到的元件设计、随机数序列、手写动画、时间控制、处理侦听事件等关键技术进行了深入研究.     

基于ActionScript3.0的Flash课件的程序框架设计

以课件《函数y=Asin(ωx+φ)的图像》为例,详细剖析了基于ActionScript3.0的Flash课件的程序框架设计。包含片头、片尾、导航菜单、功能按钮的设计与制作,以及所有功能实现的代码,为基于ActionScript3.0的Flash课件制作提供了一个通用模板。     

Detail-Aware Deep Clothing Animations Infused with Multi-Source Attributes

This paper presents a novel learning-based clothing deformation method to generate rich and reasonable detailed deformations for garments worn by bodies of various shapes in various animations. In contrast to existing learning-based methods, which require numerous trained models for different garment topologies or poses and are unable to easily realize rich details, we use a unified framework to produce high fidelity deformations efficiently and easily. Specifically, we first found that the fit between the garment and the body has an important impact on the degree of folds. We then designed an attribute parser to generate detail-aware encodings and infused them into the graph neural network, therefore enhancing the discrimination of details under diverse attributes. Furthermore, to achieve better convergence and avoid overly smooth deformations, we proposed to reconstruct output to mitigate the complexity of the learning task. Experimental results show that our proposed deformation method achieves better performance over existing methods in terms of generalization ability and quality of details.     

浅析中国动画产业与动画教育

随着计算机技术、网络技术的发展,数字动画应运而生,以数字媒体为基础的动画产业成为迅速发展的朝阳产业,也成为国民经济中新的经济增长点,中国的动画产业还处于刚刚起步阶段,而市场对动画人才的需求量很大,这使得动画教育迅猛发展起来。本文分析了中国动画产业与动画教育的现状,提出了如何更好的发展中国动画教育。     

计算机动画技术综述

本文从关键帧动画、变形物体动画、过程动画、关节动画和人体动画、基于物理的动画几个方面，对计算机动画作了一个较全面的综述.     

Constructing Human Motion Manifold With Sequential Networks

This paper presents a novel recurrent neural network-based method to construct a latent motion manifold that can represent a wide range of human motions in a long sequence. We introduce several new components to increase the spatial and temporal coverage in motion space while retaining the details of motion capture data. These include new regularization terms for the motion manifold, combination of two complementary decoders for predicting joint rotations and joint velocities and the addition of the forward kinematics layer to consider both joint rotation and position errors. In addition, we propose a set of loss terms that improve the overall quality of the motion manifold from various aspects, such as the capability of reconstructing not only the motion but also the latent manifold vector, and the naturalness of the motion through adversarial loss. These components contribute to creating compact and versatile motion manifold that allows for creating new motions by performing random sampling and algebraic operations, such as interpolation and analogy, in the latent motion manifold.     

Accelerating Liquid Simulation With an Improved Data-Driven Method

In physics-based liquid simulation for graphics applications, pressure projection consumes a significant amount of computational time and is frequently the bottleneck of the computational efficiency. How to rapidly apply the pressure projection and at the same time how to accurately capture the liquid geometry are always among the most popular topics in the current research trend in liquid simulations. In this paper, we incorporate an artificial neural network into the simulation pipeline for handling the tricky projection step for liquid animation. Compared with the previous neural-network-based works for gas flows, this paper advocates new advances in the composition of representative features as well as the loss functions in order to facilitate fluid simulation with free-surface boundary. Specifically, we choose both the velocity and the level-set function as the additional representation of the fluid states, which allows not only the motion but also the boundary position to be considered in the neural network solver. Meanwhile, we use the divergence error in the loss function to further emulate the lifelike behaviours of liquid. With these arrangements, our method could greatly accelerate the pressure projection step in liquid simulation, while maintaining fairly convincing visual results. Additionally, our neutral network performs well when being applied to new scene synthesis even with varied boundaries or scales.     

Turbulent Details Simulation for SPH Fluids via Vorticity Refinement

A major issue in smoothed particle hydrodynamics (SPH) approaches is the numerical dissipation during the projection process, especially under coarse discretizations. High‐frequency details, such as turbulence and vortices, are smoothed out, leading to unrealistic results. To address this issue, we introduce a vorticity refinement (VR) solver for SPH fluids with negligible computational overhead. In this method, the numerical dissipation of the vorticity field is recovered by the difference between the theoretical and the actual vorticity, so as to enhance turbulence details. Instead of solving the Biot‐Savart integrals, a stream function, which is easier and more efficient to solve, is used to relate the vorticity field to the velocity field. We obtain turbulence effects of different intensity levels by changing an adjustable parameter. Since the vorticity field is enhanced according to the curl field, our method can not only amplify existing vortices, but also capture additional turbulence. Our VR solver is straightforward to implement and can be easily integrated into existing SPH methods.     

一个用于立体卡通动画的流水模型

提出了一个用于立体卡通动画的流水模型.介绍了如何把手工绘制的卡通流水画面分解成不同的部分,从中提取流水序列的静态信息与动态信息.基于这些信息,建立了一个具有等级结构的模型.通过调整少量的控制参数,模型可以自动生成与手工绘制卡通流水风格一致的动画序列.一个重要的工作是把卡通流水模型扩展到三维,并在CAVE立体投影系统中生成立体卡通流水动画.     

新媒体艺术下动画分类制作与发展趋势研究

动画以其独特的艺术魅力和表现手法风靡了整个世界,并将在新媒体时代展示出更强大的生命力。本文首先介绍了新媒体艺术下计算机动画的分类标准,然后从制作角度分析二维动画、三维动画的技术特性,并对相应的国内外主流动画软件进行了分类对比,最后论文分析了数字动画艺术存在的问题和发展趋势。     

Primitive Object Grasping for Finger Motion Synthesis

We developed a new framework to generate hand and finger grasping motions. The proposed framework provides online adaptation to the position and orientation of objects and can generate grasping motions even when the object shape differs from that used during motion capture. This is achieved by using a mesh model, which we call primitive object grasping (POG), to represent the object grasping motion. The POG model uses a mesh deformation algorithm that keeps the original shape of the mesh while adapting to varying constraints. These characteristics are beneficial for finger grasping motion synthesis that satisfies constraints for mimicking the motion capture sequence and the grasping points reflecting the shape of the object. We verify the adaptability of the proposed motion synthesizer according to its position/orientation and shape variations of different objects by using motion capture sequences for grasping primitive objects, namely, a sphere, a cylinder, and a box. In addition, a different grasp strategy called a three‐finger grasp is synthesized to validate the generality of the POG‐based synthesis framework.     

Animation modeling with petri nets

This paper introduces the use of Petri Nets as a modeling and analysis tool for animation environments. Firstly, the original formulation for Petri Nets is applied in two animation situations, one modeled as a state machine and another exploring interdependent transitions. Increasing the complexity level, some modeling extensions are discussed and more sophisticated animation examples are studied.