登录
首页 » matlab » Powell

Powell

于 2012-03-09 发布 文件大小:1KB
0 286
下载积分: 1 下载次数: 9

代码说明:

  方向加速法(Powell)是一种直接法,不用计算目标函数的梯度,仅通过比较目标函数的数值大小来移动迭代点就可以求出极值。(Powell use for registration)

文件列表:

Powell.m,1112,2012-03-07

下载说明:请别用迅雷下载,失败请重下,重下不扣分!

发表评论

0 个回复

  • Three-dimensional-algorithm
    关于MC三维重建算法的二义性消除的文章,很好的消除了MC算法中的二义性(it s the article about Three-dimensional reconstruction algorithm to eliminate ambiguity in MC)
    2014-01-17 13:19:26下载
    积分:1
  • SURFFeature
    SURF Feature is an algorithm that is used in the object recognition please see the source code
    2014-04-27 00:36:40下载
    积分:1
  • FileRecv
    基于小波变换的图像融合程序,低频采用加权平均,高频采用能量最大准则。(Based on wavelet transform image fusion program, low-weighted average, using high-frequency energy is the biggest criteria.)
    2021-04-29 11:38:43下载
    积分:1
  • BwAdd_Y_ColorImage
    matlab程序添加水印的DCT算法,先将水印加密,然后嵌入图像中(matlab program to add a watermark in the DCT algorithm, first the watermark encryption, and embedded images)
    2010-11-07 14:21:39下载
    积分:1
  • VCPP-image-processing-chapter12
    VisualC++数字图像处理技术详解第2版光盘,第十二章(VisualC++ digital image processing technology Detailed Version 2 discs, Chapter XII)
    2016-04-16 14:02:35下载
    积分:1
  • junhengzengqiangsufan
    强化细节的自适应直方图均衡化,分块的算法,可以自动调节窗口大小进行局部增强。()
    2008-05-03 09:10:32下载
    积分:1
  • 2
    说明:  Research on TDOA / AOA Hybrid Positioning System Based on Kalman filtering
    2012-08-26 10:57:34下载
    积分:1
  • meng_cv
    chan-vese几何活动轮廓提取 讲物体的裂痕非常精准的提取出来 非常经典的并且最新的代码 可供参考 (chan-vese geometric active contour extraction rift speak very precise object extracted from a very classic and the latest code for reference)
    2013-09-15 15:09:47下载
    积分:1
  • finally
    实现了车辆目标的背景建模、前景检测、阴影消除、车辆跟踪(Achieve a vehicle target background modeling, foreground detection, shadow elimination, vehicle tracking)
    2013-07-22 21:36:10下载
    积分:1
  • headCountCode
    采用了Harrtraining和离子滤波算法实现了拥挤人群人头计数,非常有用。VC++和Opencv开发,采用Oepncv中的Harrtraining训练一个分类器即可运行(Human detection and tracking in high density crowds is an unsolved problem. Standard preprocessing techniques such as background modeling fail when most of the scene is in motion. We integrate human detection and tracking into a single framework, and in- troduce a con rmation-by-classi cation method to estimate con dence in a tracked trajectory, track humans through occlusions, and eliminate false positive detections.)
    2021-03-05 17:39:31下载
    积分:1
  • 696516资源总数
  • 106914会员总数
  • 0今日下载