Building New Tools for Synthetic Image Animation by Using Evolutionary Techniques
Building New Tools for Synthetic Image Animation by Using Evolutionary Techniques
复制标题
使用进化技术构建合成图像动画的新工具
DOI：
10.1007/3-540-61108-8_44
复制
发表时间：
1995
期刊：
影响因子：
--
通讯作者：
Xavier Provot
中科院分区：
文献类型：
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作者：
J. Louchet;Michael Boccara;David Crochemore;Xavier Provot
基于粒子的模型和关节模型越来越多地用于合成图像动画应用。本文的目的是显示的例子，进化算法可以作为工具来建立逼真的物理模型的图像animation.First，一种方法来检测区域的刚性2D运动的图像序列，而不显式求解光流方程，提出。它是基于涉及旋转描述符和一阶图像导数的方程的分辨率。进化技术是用来获得一个原始的分割运动的基础上，分割的结果，然后细化的积累技术，以确定更准确的旋转中心，推导出articulationpoint.Second，进化算法，旨在确定内部参数的质量弹簧动画模型的运动数据（“物理运动”），通过其应用到布料动画建模。
Particle-based models and articulated models are increasingly used in synthetic image animation applications. This paper aims at showing examples of how Evolutionary Algorithms can be used as tools to build realistic physical models for image animation.First, a method to detect regions with rigid 2D motion in image sequences, without solving explicitly the Optical Flow equation, is presented. It is based on the resolution of an equation involving rotation descriptors and first-order image derivatives. An evolutionary technique is used to obtain a raw segmentation based on motion; the result of segmentation is then refined by an accumulation technique in order to determine more accurate rotation centres and deduce articulation points.Second, an evolutionary algorithm designed to identify internal parameters of a mass-spring animation model from kinematic data (“Physics from Motion”) is presented through its application to cloth animation modelling.