For a long time force feedback is limited to rigid objects, force rendering of deformable object has more been concerned because of its practicability and realistic meanings.
长期以来的研究都还局限于刚体之间的力反馈，然而，可变形物体的力反馈因其更具有实用性和现实意义而备受关注。
Self collision detection is the most time consuming process in deformable object simulation. In this paper, a novel algorithm is presented for performing self collision using graphics hardware.
自碰撞检测是可变形体模拟过程中最耗时的环节，提出一种使用图形硬件的快速算法。
A novel approach for object tracking based on deformable template model in image sequence is presented in the paper.
提出一种新的针对目标变形的模板匹配跟踪方法。
This paper proposes an image segmentation algorithm using deformable template to segment an interesting visual object from the stationary complex background.
提出一种基于原型的可变形模板进行图像分割的算法，从而可以将感兴趣的视频对象从静止的复杂背景中提取出来。
Collision Detection for rigid object in deformable environment is very popular in the field of virtual reality such as surgery simulation and so on, but few research has been made.
刚体在软体对象环境中的碰撞检测在虚拟现实的研究领域具有很大的普遍性，但以往的研究较少。
Using Finit Ielement Method, a 3-D object was constructed by means of set of deformable edges elastic frame elements with twelve crossed lines.
应用有限元素法，通过十二棱交叉的变态棱线弹性架单元的集合，进行三维实体的造型、调型与表面光滑处理。
Using Finit Ielement Method, a 3-D object was constructed by means of set of deformable edges elastic frame elements with twelve crossed lines.
应用有限元素法，通过十二棱交叉的变态棱线弹性架单元的集合，进行三维实体的造型、调型与表面光滑处理。
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