1) projective invariant
射影不变量
1.
Application of Projective Invariants in Object Recognition;
图像中射影不变量在目标识别中的应用
2.
A group of projective invariants was derived based on the cross ratio of five coplanar points, and used to recognize planar polygons.
利用共面五点的交比，导出一组用于识别平面多边形的射影不变量，用这组不变量实现平面多边形的识别，实验结果表明，这组不变量具有射影不变性，可以有效地识别平面多边形。
3.
A new projective invariant-based technique for recovering depth information from stereo images is presented.
文中提出了利用射影不变量来求解基于图像对三维深度恢复问题。
2) projective invariants
射影不变量
1.
Planar Object Recognition Based on Projective Invariants;
基于射影不变量的平面目标识别方法研究
3) projective invariance
射影不变性
1.
A novel approach is then proposed for single view metrology based on projective invariance.
设计了一种由正方形及其内切圆组成新的平面模板,在此基础上提出了一种基于射影不变性的单幅图像测量方法。
4) projective invariant
投影不变量
1.
An object tracking algorithm based on planar projective invariants is proposed,in which the values of invariants for object modeling and tracking are calculated with lines extracted from images.
提出了一种基于平面投影不变量的目标跟踪算法。
2.
The cross ratio of volume elements is shown as projective invariant after the spatial projective transformation is properly introduced.
从引入空间投影变换的概念入手，证明了体积之交比为一般的投影不变量，从而将其作为描述物体的度量。
3.
Projective invariants are independent of viewpoints, intrinsic and extrinsic camera parameters and common used in computer vision gradually.
投影不变量具有与视点和摄像机内外参数无关等优点 ,正逐渐成为计算机视觉研究的常用工具。
5) projective invariants
投影不变量
1.
The proposed method of recovering field of view lines by using projective invariants does not rely on the object movement in the scene and does not require information about camera parameters.
根据投影不变量FOV线生成法,在生成视野边界线时不依赖于场景中目标的运动,并且不需要摄像机参数的信息。
2.
Recently,projective invariants method is used to handoff object,but it will make mistakes in the case of multiple objects appear closely.
近年来,出现了利用投影不变量,计算目标在相邻摄像机中的投影位置来进行目标交接的方法,取得较好效果。
补充资料：变量与变量值
可变的数量标志和所有的统计指标称作变量。变量的数值表现称作
变量值，即标志值或指标值。变量与变量值不能误用。
变量值，即标志值或指标值。变量与变量值不能误用。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条