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滑块条参考手册
属性
min滑块条最小刻度值
max滑块条最大刻度值
pos滑块条当前位置
orientation滑块条方向，h －水平方向，v －垂直方向，默认为 h。
trackBarWidth滑块条宽度
progressHeight滑块条高度
sliderWidth滑块宽度
sliderHeight滑块高度
方法
CTrackBar(trackBarIdStr, min, max, pos)构造函数，trackBarIdStr 为
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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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For my fourth year computer graphics course I wrote a little 3D engine using C# and the .NET platform. I decided to go this route as opposed to the C++ route that everyone else took in the course because I wanted to see whether C# lived up to it s hy
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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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超声波空间定位程序 设定，X,Y,Z坐标用NAKIO5110屏实时显示 物体的坐标-Ultrasonic spatial orientation program set, X, Y, Z coordinates of the object with NAKIO5110 real-time display screen coordinates
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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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利用已知的控制点的物方坐标和像方坐标进行后方交会求解出影像的6个外方位元素。-Using the known object space coordinates of control points and the coordinates of resection as parties to solve the image of the six exterior orientation elements.
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In this course object
orientation is
introduced as a new programming concept which should help you in developing high
quality software Object
orientation is also introduced as a concept which makes
developing of projects easier
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该源码的功能是利用用户的输入地面控制点和影像点坐标，利用最小二乘法思想最终迭代出影像的外方位元素，即摄影测量中的单幅影像后方交会。程序关键部分是在VS2010下，利用自定义的矩阵类实现的，能很好的体现出面向对象的思想。-The source function is the use of user input ground control points and image point coordinates, least-squares method using the final iterati
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Fortran 2003 is a major extension of Fortran 95. This contrasts with Fortran 95, which was a
minor extension of Fortran 90. Beside the two TR items, the major changes concern object
orientation and interfacing with C. Allocatable arrays are very
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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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Current debates regarding the possible cognitive implications
of ideas from adaptive behavior research and
dynamical systems theory would benefit greatly from a
careful study of simple model agents that exhibit
minimally cognitive behavior. T
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Histogram of Oriented Gradients (HOG) are feature descr iptors used in computer vision and image processing for the purpose of object detection. The technique counts occurrences of gradient orientation in localized portions of an image. This method i
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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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Basics of Object orientation *
* Delphi unit structure and project structure
* Generation of Delphi RAD: visual objects and events-Basics of Object orientation *
* Delphi
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a template as binary edge image the function finds the object that match the template in the image. The orientation of the object can be different that of the template. Scanning is done by rotating the template and matching it to the image in various
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基于Labview的编程，能够显示物体在三维空间中的具体方位和姿态.-Display the acceleration and orientation of the object based on Labview.
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This paper introduces a new object tracking method
which combines two algorithms working in parallel, and based on
low-level observations (colour and gradient orientation): the Generalised Hough Transform, using a pixel-based descr iption, and
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Write a CLI program that reads scores and names of students, and prints out a summary sheet (in the same format with the last homework). The user can input as many students as possible. One student can have as many courses as possible. One course con
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