After 8 days of latency period trifocal DO was started at a rate of 0.5 mm × 2 times per day at each distraction region . The regenerating bone was examined by X-ray and histological method during stages of distraction osteogenesis .

牵引间歇期8天， 牵引速度0.5mm×2次/天， 稳定期 3个 月。

A motion estimation method based on Trifocal tensor and BMA is also proposed which gives much better motion compensation results compared with BMA when there are camera translation and scene depth variation .

在有相机平移及景物有深度变化时，该方法的运动补偿效果明显好于单纯 BMA方法；

Experiments on simple scene and complex scene show that the number of correspondence has been increased by 16.7 % and 56.8 % respectively . A simplified method that implements triple-view geometry constraint is put forward to substitute for the computation of trifocal tensor .

对简单场景的图像对与复杂场景的图像对进行了实验，对应 点的数量分别提高了16.7%与 56.8%。

It consist of computation of fundamental matrix in two views and of trifocal tensor in three views .

主要包括两视点 结构中基本矩阵及三视点 结构 中 三焦张量的计算。

Approach to metric reconstruction based on trifocal tensor

一种基于 三 焦点张量的度量重建方法

Matching of Tree Image Based on Trifocal Tensor

基于 三 焦点张量的树木图像匹配

Multi-Camera Collaboration Based on Trifocal Tensor Transfer

基于 三 焦点张量点转移的多摄像机协同

The trifocal tensor can eliminate the wrong matches while the epipolar geometry algorithms of feature point and line match can not find them .

利用 三 视 张量能够消除 两 视 情况下特征点、特征线匹配算法所不能发现的错误匹配。

This paper mainly researches the application that one uses the trifocal tensor to get feature points and feature lines .

本文重点研究了 三 视 张量在图像点特征及线特征获取中的应用。

Thereinto the problem of matching feature points and feature lines introduce the trifocal tensor as the constraint condition .

其中，特征点、线的匹配问题引入了 三 视 张量约束条件。

Feature Matching in Image Sequences Based on the Trifocal Tensor

基于 三 视 张量的序列影像特征匹配

This paper studies the trifocal tensor and uses it to match the features of image sequences then through experiment shows that this method can effectively improve the rate the points and lines of correctly matching .

本文对 三 视张量进行了研究，将其用于序列影像的点、线匹配，并通过试验证实了该方法能有效提高点、线匹配的正确率。

Motion estimation and compensation based on trifocal tensor and BMA

基于 三 焦距张量及BMA的运动估计和补偿

First A random sampling algorithm for fundamental matrix robust estimation is examined and is used to solve the displacement between real time and reference image in scene matching . The main geometric and algebraic properties of the trifocal tensor are introduced .

首先，本文研究了基本矩阵随机采样鲁棒估计算法，并用来解决景象匹配中的实时图与基准图在 空间 不对 准问题，并 给出 三 视 张量的主要几何和代数属性。