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对高分辨距离像进行仿真的源程序，仿真效果良好(Pairs of high resolution range profile simulation of the source code, simulation, good results)

关于图形学的一个算法，主要实现了投影。比较适合初学者(An algorithm on the graphics, the main achievement of the projector. More suitable for beginners)

matlab导出iges格式的程序文件，可以matlab读取和导出(The name of the resource property which is the same as the topic name)

眼球追踪算法 matlab实现 内含说明pdf(eyetracking m file with introduction)

此程序为摄影测量的一个小环节，主要功能是求解影像畸变差，可根据相机内参数求解，简单实用(This program is a small part of photogrammetry, the main function is to solve the differential image distortion can be solved according to the camera parameters, simple and practical)

说明：  VGA彩条信号显示器设计 设计并调试好一个VGA彩条信号发生器，并用EDA实验开发系统（拟采用的实验芯片的型号可选Altera CycloneII系列的 EP2C5T144C8 FPGA。(A VGA color bar signal generator is designed and debugged, and an EDA experimental development system is used (the model of the experimental chip to be used can be selected as EP2C5T144C8 FPGA of Altera Cyclone II series).)

盲信号分离的fastICA算法，读取具有混合干扰的4幅图像，处理后显示分离后图像(Blind Source Separation Algorithm fastICA, read with mixed disturbance of four images, processed images show that after the separation)

实现通过用户给定B样条曲线的控制顶点、设定B样条曲线的次数及类型，进而绘制出相应的B样条曲线和对应的基函数图形。并且可以通过鼠标拖拽控制顶点修改B样条曲线和对应的基函数图形。从而，对B样条曲线和基函数的性质有更深入更直观的了解，理解B样条曲线和基函数的对应关系，在以后的学习中能更好地运用B样条曲线。(The number and type of user to achieve a given control vertices B-spline curve, set the B-spline curves, and then draw the corresponding B-spline basis functions and the corresponding graphic. And can be modified by dragging the mouse to control the apex B-spline curves and the corresponding basis function graphics. Thus, the nature of the B-spline curves and basis functions have a deeper and more intuitive understanding, understanding of the correspondence between the B-spline curves and basis functions in later learning to better use of B-spline curves.)

数字视频图像处理算法的经典书籍：数字视频和高清电视的算法和接口。(Digital video image processing algorithm of the classic books: Digital Video and HDTV Algorithms and Interfaces.)

说明：  DensePose用深度学习把2D图像坐标映射到3D人体表面上，再加上以每秒多帧的速度处理密集坐标，最后实现动态人物的精确定位和姿态估计。该技术集目标检测、姿态估计、目标部分/实例分割等多种计算机视觉任务于一身的一个综合问题。(DensePost maps 2D image coordinates to 3D human body surface by in-depth learning, and processes dense coordinates at the speed of multiple frames per second. Finally, it realizes precise positioning and attitude estimation of dynamic characters. This technology integrates many kinds of computer vision tasks, such as target detection, attitude estimation, target part/instance segmentation, etc.)