基于三维结构的骨骼动画技术在二维动画中的应用

动画造型的运动控制是二维动画由传统手绘向计算机辅助制作转变过程中的重点、难点问题之一。针对这一问题,研究分析三维骨骼动画技术的数据结构和运动原理,并将其应用到二维动画制作过程中,同时结合二维动画的数据特点,提出三维骨骼和二维图形之间的绑定方法,实现基于三维骨骼的二维动画过程。应用结果表明三维结构的骨骼动画技术能够有效提高二维动画制作效率和动画质量。     

基于Forge云的艺用人体解剖绘画仿真系统

针对目前人物动画制作以及绘画过程中对人体结构认识不足的问题,以及虚拟现实技术在教育中的优势,提出了一个基于Forge云的艺用人体解剖绘画仿真系统方案.系统按照人体结构比例,采用块面加线的模式完成人物模型的构建及可视化过程,完全遵照动画运动规律,以骨骼动画结合三维动作捕捉的方式实现人体运动仿真.通过Forge云平台和Three.js完成人机交互.最后,将漫画模块和Forge云模块双向通信,完成漫画人物姿态仿真.通过测试证明,该系统的仿真度和易用性较高,为数字化学习和移动学习提供了环境,有助于学习者深入理解人体解剖结构,并正确掌握漫画人物的造型方法.     

基于VICON运动捕捉系统的动画制作流程

Motion Capture技术又称为表演动画技术，由于其技术的稳定性和制作的高效性，近十年来被广泛应用于影视动画制作，游戏制作等行业。Motion Capture综合运用机械，电子、光学、计算机图形学，计算机视觉，计算机动画等技术，通过捕捉表演者的动作或者表情数据直接驱动动画形象模型，使动画制作过程更直观，效果更生动。     

基于动作捕捉技术的民族舞蹈三维数字化方法研究

研究民族舞蹈三维动捕数据真实全面的获取方法,并以此方法指导摆手舞的三维数据采集。同时本文以舞蹈动画生成为例介绍民族舞蹈三维数据化的后期应用,建立带有民族特色角色建模并辅以骨骼绑定,而后将角色模型与动捕数据进行运动数据绑定,以实现舞蹈三维动捕数据驱动角色模型生成动画的目标,动画制作的效率得到了提高。表明动作捕捉技术可用于保护我国民族舞蹈艺术文化,基于动捕技术的民族舞蹈三维数字化方法的推广将产生积极的社会效益和经济效益。     

基于视觉的人体运动捕捉技术研究

运动捕捉技术是计算机视觉和人体运动分析领域的研究热点,在计算机动画等领域拥有广泛的应用前景。在总结基于视觉的人体运动捕捉技术进展的基础上,分析运动跟踪、捕捉方法及技术难点,提出一种新的从视频提取人体运动信息,重现人体运动轨迹的方法、流程及系统设计框架。     

Kinect动作捕捉技术在三维动画教学中的应用与实践

针对传统三维角色动画制作成本高、时间长的问题,文章介绍了一种应用Kinect动作捕捉技术实现高效制作三维角色动画的方法。该方法借助Kinect体感摄像机捕捉真人的动作生成骨骼关节的关键帧数据并输出bvh动作路径文件,然后把bvh动作路径数据导入C4D软件中,就可以驱动角色模型完成角色动画的制作。把这种方法运用到三维角色动画教学实践中,有利于提高学生学习的兴趣和效率。     

小议3D Studio MAX3的运动捕捉器

视觉上的自然流畅是任何动画的主要目标,想达到这一目标,运用运动捕捉器(Motion C apture)不失为一绝妙的方法。 3D Studio MAX3的运动捕捉器(Motion Capture)给动画创作提供了极大的灵活性,我们在三维动画的制作中,往往忽视了它。运动捕捉器允许使用外接设备控制和记录     

运动捕捉技术及其应用研究综述

运动捕捉技术能够测量、跟踪和记录物体在三维空间中的运动轨迹,在许多研究领域得到了广泛的应用。介绍了运动捕捉技术的发展历程,概括总结了目前常用的五种运动捕捉系统的组成及优缺点,对采用运动捕捉技术进行应用研究的相关成果进行了收集、分类和整理,从非物质文化遗产的数字化保护、模拟训练与教学、影视和游戏动画制作、人体姿态研究、人机工程学研究等方面对这些成果作了系统综述。在分析总结已有研究成果的基础上,提出可将该技术应用于一些新的研究项目。     

群体动画中路径自动规划方法研究

为了在制作群体动画时产生逼真的运动路径,在群体运动的模拟中设计了碰撞检测和碰撞避免的方法,并基于微粒群算法和人工蜂群算法提出了群体动画路径自动规划方法.仿真实验表明;该方法能够实现群体动画运动路径的自动设计,提高了群体动画的制作效率.     

动作捕捉中的动画驱动及运动编辑技术综述

动画驱动是一个将动作捕捉数据应用于虚拟角色的过程,而运动编辑则是对动画驱动后的数据进行编辑处理,这两项技术对动作捕捉技术的发展应用有着十分重要的意义成为近年来国内外研究的热点.详细介绍目前已有的动画驱动及运动编辑技术方法,分析比较各种方法的优缺点及存在的问题,并对未来的研究进行了展望.     

基于运动捕获数据的虚拟人动画研究

随着三维游戏等行业对计算机动画制作需求的增加,在三维动画制作软件中人工调整虚拟人动作的工作方式已经不再适合现在的计算机动画制作。运动捕获技术是直接记录物体的运动数据并将其用于生成计算机动画,具有高效率、所生成的动画真实感强等优点,因而获得了广泛应用。提出了一种利用运动捕获数据来生成动画的方法,基于运动捕获得到的数据建立并驱动三维骨架模型,从而产生骨架的运动,形成动画。该方法可以充分利用现有的大量运动捕获数据,因此具有较大的应用前景。     

基于视频的人体动画

现有的基于运动捕获的动画普遍存在投资大，人体的运动受到捕获设备限制等缺陷。提出了新的基于视频的人体动画技术，首先从视频中捕获人体运动，然后将编辑处理后的运动重定向到动画角色，产生满足动画师要求的动画片段。对其中的运动捕获、运动编辑和运动重定向等关键技术进行了深入研究，并基于这些关键技术开发了一个基于双像机的视频动画系统（VBHA），系统运行结果表明了从来源广、成本低的视频中捕获运动，并经过运动编辑和运动重定向后生成逼真动画的可行性。     

HandPuppet3D: Motion capture and analysis for character animation

Motion capture is a technique of digitally recording the movements of real entities, usually humans. It was originally developed as an analysis tool in biomechanics research, but has grown increasingly important as a source of motion data for computer animation. In this context it has been widely used for both cinema and video games. Hand motion capture and tracking in particular has received a lot of attention because of its critical role in the design of new Human Computer Interaction methods and gesture analysis. One of the main difficulties is the capture of human hand motion. This paper gives an overview of ongoing research “HandPuppet3D” being carried out in collaboration with an animation studio to employ computer vision techniques to develop a prototype desktop system and associated animation process that will allow an animator to control 3D character animation through the use of hand gestures. The eventual goal of the project is to support existing practice by providing a softer, more intuitive, user interface for the animator that improves the productivity of the animation workflow and the quality of the resulting animations. To help achieve this goal the focus has been placed on developing a prototype camera based desktop gesture capture system to capture hand gestures and interpret them in order to generate and control the animation of 3D character models. This will allow an animator to control 3D character animation through the capture and interpretation of hand gestures. Methods will be discussed for motion tracking and capture in 3D animation and in particular that of hand motion tracking and capture. HandPuppet3D aims to enable gesture capture with interpretation of the captured gestures and control of the target 3D animation software. This involves development and testing of a motion analysis system built from algorithms recently developed. We review current software and research methods available in this area and describe our current work.     

基于多分辨率模型的快速运动过渡生成算法

运动捕获技术可以记录人体关节运动的细节,是当前最有前景的计算机动画技术.然而,运动数据的重用性一直是个难点,为此,多种运动编辑手段被提出.运动过渡是一种常见的编辑技术,它可以将输入的两端运动序列拼接,形成新的运动序列.其中,过渡点选择的合理与否直接影响着结果运动的质量.在两运动间选择过渡点,需要对输入运动的每一对帧之间分别计算帧间的距离,其计算复杂度是O(n2)的,通过引入多分辨率模型,文中将该复杂度降低到O(nlog2n),同时试验结果表明,此方法并未损害到结果运动的质量.     

Silk road dance exhibition system based on motion capture

Silk Road dance is an excellent traditional Chinese dance drama, which has high artistic values. This article introduces the virtual performance techniques of Silk Road based on motion capture. First, obtain the dance data using motion capture technique according to the features of dance itself, then establish figure model, finally combines these data to make 3-D animation system to perform Silk Road, meanwhile designs some interfaces to introduce it. This system excavates details of the dance, and can be reference of man-machine interaction and animation production.     

Exaggerating Character Motions Using Sub‐Joint Hierarchy

Motion capture cannot generate cartoon‐style animation directly. We emulate the rubber‐like exaggerations common in traditional character animation as a means of converting motion capture data into cartoon‐like movement. We achieve this using trajectory‐based motion exaggeration while allowing the violation of link‐length constraints. We extend this technique to obtain smooth, rubber‐like motion by dividing the original links into shorter sub‐links and computing the positions of joints using Bézier curve interpolation and a mass‐spring simulation. This method is fast enough to be used in real time.     

Artist-Directed Inverse-Kinematics Using Radial Basis Function Interpolation

One of the most common tasks in computer animation is inverse-kinematics, or determining a joint configuration required to place a particular part of an articulated character at a particular location in global space. Inverse-kinematics is required at design-time to assist artists using commercial 3D animation packages, for motion capture analysis, and for run-time applications such as games.
We present an efficient inverse-kinematics methodology based on the interpolation of example motions and positions. The technique is demonstrated on a number of inverse-kinematics positioning tasks for a human figure. In addition to simple positioning tasks, the method provides complete motion sequences that satisfy an inverse-kinematic goal. The interpolation at the heart of the algorithm allows an artist's influence to play a major role in ensuring that the system always generates plausible results. Due to the lightweight nature of the algorithm, we can position a character at extremely high frame rates, making the technique useful for time-critical run-time applications such as games.     

Layered animation of captured data

normal volume of a triangle to convert individual triangles to a volumetric representation. A layered model is constructed to animate the reconstructed high-resolution surface. The model consists of 3 layers: a skeleton for animation from key-frame or motion capture; a low-resolution control model for real-time mesh deformation; and a high-resolution model to represent the captured surface detail. Initially the skeleton model is manually placed inside the low-resolution control model and high-resolution scanned data. Automatic techniques are introduced to map both the control model and captured data into a single layered model. The high-resolution captured data is mapped onto the low-resolution control model using the normal volume. The resulting model enables efficient, seamless animation by manipulation of the skeleton while maintaining the captured high-resolution surface detail. The animation of high-resolution captured data based on a low-resolution generic model of the object opens up the possibility of rapid capture and animation of new objects based on libraries of generic models. Published online: 2 October 2001     

基于动作捕捉技术的岭南舞蹈数字化保护研究

对岭南舞蹈的保护所面临的问题进行分析．提出基于动作捕捉技术的岭南舞蹈数字化保护方法。和传统的视频记录相比。观看者能够以任意角度、任意距离进行浏览。通过建立岭南舞蹈三维动作数据库与数字化虚拟展示,能真实全面再现每个岭南舞蹈的艺术精华,为今后岭南舞蹈的教学、舞蹈辅助编排、动画制作以及相关的研究工作提供精准的数字化平台。对岭南舞蹈的保护、传承和发展有着深远的意义。