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This file contains one-line descr iptions of the geometry filters.
Geometry Manipulation
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flipply - flip the orientation of faces
normalsply - compute surface normal vectors at vertices
xformply - transform vertic
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This sample illustrates how to draw geometry to simulate the flight path of an object. This sample defines the class myApp, which is derived from vpApp, and uses a vsRenderStrategyFrameGeometry to create dynamic path geometry for a F-16 flying around
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摄影测量中的前方交会与后方交会。前方交会时通过一对相片的同名象点来球物方坐标，后方交会是通过四个物方坐标来求六个内方位元素-Photogrammetry in the front of the intersection and resection. Forward intersection, through a pair of photographs of the same name as the point of the ball in object coordinates, and the
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SIFT keypoints of objects are first extracted from a set of reference images[4] and stored in a database. An object is recognized in a new image by individually comparing each feature from the new image to this database and finding candidate matching
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基于纹理和边缘方向特征融合的目标跟踪程序代码，是基于mean shift框架的-This paper proposes a powerful and robust local descr iptor,called textureorientation
descr iptor(TOD). TOD consists of two components: texture and
orientation. Considering that the human shape shows more s
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本文提出一种通过实时调整目标特征权值来进行背景自适应跟踪的算法。首先，定义了一种综合特征集合用以描述目标的颜色和局部轮廓。其次，提出了在滤波框架中对目标特征进行评估的算法，从而使得具有强区分能力的特征占有较大的权值，进而使其能够在跟踪过程起到较大的作用。采用传统的Kalman 滤波和粒子滤波对所提出的算法进行了验证。-In this paper, we propose a new adaptive visual object tracking method based on
online f
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输入：
自拍两幅同一个场景(或物体)的角度/远近有差别的图像
（对于学有余力的同学，建议多测试几张角度/远近差别较大的图像）
任务：
在每张图像中检测特征点位置并将匹配画出匹配得最好的10-20对特征点
输出要求（以下三个结果分别输出，不要重叠在一张图上）：
1. 在两张图上分别画出检测到的特征点位置
2. 对匹配得最好的10-20对特征点：每对特征点对用连接线画出
3. 用椭圆形式在图上画出上述每个特征点的描述子方向与尺度等信息
编程工具：
Visual
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P4P位姿测量算法经典文章，利用矩形的四个顶点可以直接确定相机坐标系与物体坐标系的位姿矩阵及相机焦距-P4P Pose measurement algorithm classic article, the use of four vertices of the rectangle can determine the position and orientation matrix camera coordinate system and the object coordinate system a
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利用最小二乘法将物体的轮廓拟合成椭圆形，返回椭圆的中心坐标，长短半轴的长度，取向，并画出拟合后的椭圆-Using least square method to fit the object outline of synthetic elliptic, return to the center of the ellipse coordinates, the length of the length of the half shaft, orientation, and draw the oval
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ASIFT算法就是为了解决SIFT、ORB、SURF等特征描述算子倾斜匹配的问题。上面的这些算法可以很好的应对尺度、旋转情况下的匹配，但是对于倾斜影像的特征点匹配只能提取很少量的特征，所以作者提出ASIFT来解决这个问题。(If a physical object has a smooth or piecewise smooth boundary, its images obtained by cameras
in varying positions undergo smooth apparen
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