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surf(peaks)
- 试创建一个伴随surf的现场菜单,包括四个菜单项:春色,夏色,秋色,冬色.-try to create a scene with surf the menu, including four menu items : Spring, summer colors, Autumn and winter color.
track.zip
- matlab tracking source code to track a moving object on the scene by using centroid and rectangle method,matlab tracking source code to track a moving object on the scene by using centroid and rectangle method
CKPCA-HOG-SVM
- 为了准确地对监控场景中的运动目标进行语义上的分类，提出了一种基于聚类的核主成分分析梯度方向直方图和二又决策树支持向量机的运动目标分类算法。-In order to accurately monitor the movement of scene targets semantic classification, the clustering based on kernel principal component analysis of gradient direction histograms,
yuyin
- 语音信号的采集与处理，数字信号处理课设，可对已录制好的语音进行高中低频的滤波处理，并可现场录音处理，包含所有源代码，GUI，课设报告等。-Voice signal acquisition and processing, digital signal processing class- can be carried out on the high school has recorded the voice of low-frequency filter processing, recording
stk
- matlab控制利用stk进行实时仿真的连接指令以及一个stk现成的场景仿真-matlab control simulation using real-time connection stk instruction and a ready-made scene simulation stk
LKTK
- Recovering 3-D structure from motion in noisy 2-D images is a problem addressed by many vision system researchers. By consistently tracking feature points of interest across multiple images using a methodology first described by Lucas-Kanade, a 3-D s
Digital_PID
- Matlab连续系统的数字PID控制程序，可实现A/D，D/A功能，符合现场实际情况。-Matlab figure for PID control system procedures, can be A/D, D/A functions, in line with the actual situation at the scene.
OceanWave_Dynamic_rectangle
- 海面3维动态场景描述，改变程序中的风速大小就能得到不同海情的海面。-Sea 3-D dynamic scene descr iption, change the size of the program' s speed could be different sea and the sea.
stereomatch
- Stereovision: Takes two images showing the same scene from two displaced cameras and matches them, so that deepness can be obtained.
shuangmushijue
- 三维重建技术的研究是计算机视觉学科的一个重要领域，而双目视觉则是三维重建中的一项重要技术，它利用左右摄像机拍摄出的立体图像对，依据其中包含的几何关系将场景的三维信息重构出来。-The 3-D reconstruction technology of computer vision is a significant field of computer vision ,and binocular stereo vision is a very important technique in 3-D
GetObjectByDisAndGray
- 三维重建技术的研究是计算机视觉学科的一个重要领域，而双目视觉则是三维重建中的一项重要技术，它利用左右摄像机拍摄出的立体图像对，依据其中包含的几何关系将场景的三维信息重构出来。-Three-dimensional reconstruction of the research is an important subject of computer vision field, while binocular vision is three-dimensional reconstruction of a
xingrengenzong
- 三维重建技术的研究是计算机视觉学科的一个重要领域，而双目视觉则是三维重建中的一项重要技术，它利用左右摄像机拍摄出的立体图像对，依据其中包含的几何关系将场景的三维信息重构出来。-Three-dimensional reconstruction of the research is an important subject of computer vision field, while binocular vision is three-dimensional reconstruction of a
insert
- 基于能量分离语音，声场景方面的。其实是更好的分段，算是预处理吧-Based on the energy separation of voice, sound and scene.
ruqinzhejiance
- 主要完成的工作是在监控的场景中检测出运动的物体，去除干扰的背景，只留下感兴趣的目标即目标提取。目标提取,运动信息提取,PCA和诊间差分方法。-The major work done to monitor the scene in the moving objects detected, remove the background interference, leaving only the object extraction target of interest. Object extracti
elevator
- 实际的场景，若电梯的最大载客量m=10，设电梯中已有的 客人服从0-10 之间的均匀分布，且电梯中的任意一人在任意一层下的 概率相同，若你在第三层需要乘电梯到第七层，电梯处在第一层，共 8 层。且在每一层等电梯到达他们的目的楼层的客人服从0-3 的均匀分 布此时我们对电梯的运行加一些限 制，即电梯中若有客人未达目的地，电梯不会改变运行方向，求直到 你到达第七层为止，，电梯需停次数的数学期望，并进行计算机模拟验 证。-The actual scene, if the m
LPT-cycle-phase-associated-with-the-scene-matching
- 采用循环相位相关的LPT景像匹配算法（图像匹配）-LPT cycle phase associated with the scene matching algorithm (matching)
SimulationonMATLAB
- 利用MATLAB 提供的V2Realm Builder 建立倒立摆三维虚拟场景-V2Realm Builder using MATLAB provides three-dimensional virtual scene to establish an inverted pendulum
BackgroundSubtractionReview-Piccardi
- given a frame sequence from a fixed camera, detecting all the foreground objects : the detection of the foreground objects is obtained by the difference between the current frame and an image of the scene’s static background
bank_net
- 关于OPNET里的一个仿真场景，还是可以参考一下，具体对新手还是比较适用的-OPNET in a simulation on the scene, or can refer to the specific comparison to the novice or the applicable
Organizing Heterogeneous Scene Collections through Contextual Focal Points
- Organizing Heterogeneous Scene Collections through Contextual Focal Points