首页 开发技术 其它     /    surf的matlab代码

surf的matlab代码

上传者: wxy2010 | 上传时间:2017/11/18 16:05:37 | 文件大小:1.03MB | 文件类型:rar
surf的matlab代码
SURF角点检测算法是对SIFT的一种改进,主要体现在速度上,效率更高。
它和SIFT的主要区别是图像多尺度空间的构建方法不同。
作为尺度不变特征变换算法(Sift算法)的加速版,Surf算法在适中的条件下完成两幅图像中物体的婚配基本实现了实时处理,其快速的基础实际上只有一个——积分图像haar求导 本软件ID:9482212

文件下载

资源详情

[{"title":"(37个子文件1.03MB)surf的matlab代码","children":[{"title":"新建文件夹","children":[{"title":"visreg.m <span style='color:#111;'>2.82KB</span>","children":null,"spread":false},{"title":"2.jpg <span style='color:#111;'>38.83KB</span>","children":null,"spread":false},{"title":"1.jpg <span style='color:#111;'>18.62KB</span>","children":null,"spread":false},{"title":"license.txt <span style='color:#111;'>1.30KB</span>","children":null,"spread":false},{"title":"SubFunctions","children":[{"title":"FastHessian_BuildDerivative.m <span style='color:#111;'>603B</span>","children":null,"spread":false},{"title":"SurfDescriptor_GetDescriptor.m <span style='color:#111;'>3.55KB</span>","children":null,"spread":false},{"title":"FastHessian_buildResponseLayer.m <span style='color:#111;'>1.72KB</span>","children":null,"spread":false},{"title":"IntegralImage_HaarX.m <span style='color:#111;'>494B</span>","children":null,"spread":false},{"title":"IntegralImage_HaarY.m <span style='color:#111;'>556B</span>","children":null,"spread":false},{"title":"FastHessian_getLaplacian.m <span style='color:#111;'>455B</span>","children":null,"spread":false},{"title":"FastHessian_ResponseLayer.m <span style='color:#111;'>738B</span>","children":null,"spread":false},{"title":"img_2.tif <span style='color:#111;'>196.44KB</span>","children":null,"spread":false},{"title":"SurfDescriptor_GetOrientation.m <span style='color:#111;'>2.85KB</span>","children":null,"spread":false},{"title":"IntegralImage_IntegralImage.m <span style='color:#111;'>796B</span>","children":null,"spread":false},{"title":"IntegralImage_BoxIntegral.m <span style='color:#111;'>820B</span>","children":null,"spread":false},{"title":"FastHessian_interpolateExtremum.m <span style='color:#111;'>2.43KB</span>","children":null,"spread":false},{"title":"PaintSURF.m <span style='color:#111;'>1.06KB</span>","children":null,"spread":false},{"title":"FastHessian_getResponse.m <span style='color:#111;'>450B</span>","children":null,"spread":false},{"title":"FastHessian_getIpoints.m <span style='color:#111;'>2.37KB</span>","children":null,"spread":false},{"title":"img_1.tif <span style='color:#111;'>193.67KB</span>","children":null,"spread":false},{"title":"FastHessian_isExtremum.m <span style='color:#111;'>1.66KB</span>","children":null,"spread":false},{"title":"SurfDescriptor_DecribeInterestPoints.m <span style='color:#111;'>1.52KB</span>","children":null,"spread":false},{"title":"FastHessian_buildResponseMap.m <span style='color:#111;'>1.85KB</span>","children":null,"spread":false}],"spread":false},{"title":"example2.m <span style='color:#111;'>1.37KB</span>","children":null,"spread":false},{"title":"hs_err_pid7852.log <span style='color:#111;'>19.48KB</span>","children":null,"spread":false},{"title":"myexample.m <span style='color:#111;'>655B</span>","children":null,"spread":false},{"title":"hs_err_pid6024.log <span style='color:#111;'>18.82KB</span>","children":null,"spread":false},{"title":"example3.m <span style='color:#111;'>1.51KB</span>","children":null,"spread":false},{"title":"TestImages","children":[{"title":"lena1.png <span style='color:#111;'>234.14KB</span>","children":null,"spread":false},{"title":"testc2.png <span style='color:#111;'>119.20KB</span>","children":null,"spread":false},{"title":"lena2.png <span style='color:#111;'>206.75KB</span>","children":null,"spread":false},{"title":"testc1.png <span style='color:#111;'>120.34KB</span>","children":null,"spread":false},{"title":"test.png <span style='color:#111;'>5.17KB</span>","children":null,"spread":false}],"spread":true},{"title":"OpenSurf.m <span style='color:#111;'>3.69KB</span>","children":null,"spread":false},{"title":"WarpFunctions","children":[{"title":"affine_warp.m <span style='color:#111;'>9.49KB</span>","children":null,"spread":false}],"spread":true},{"title":"video_to_tif.m <span style='color:#111;'>908B</span>","children":null,"spread":false},{"title":"hs_err_pid1348.log <span style='color:#111;'>19.32KB</span>","children":null,"spread":false}],"spread":false}],"spread":true}]

评论信息

  • lele'sdad:
    和另一个资源是重复的,下载积分过大。2020-04-09

免责申明

【好快吧下载】的资源来自网友分享,仅供学习研究,请务必在下载后24小时内给予删除,不得用于其他任何用途,否则后果自负。基于互联网的特殊性,【好快吧下载】 无法对用户传输的作品、信息、内容的权属或合法性、合规性、真实性、科学性、完整权、有效性等进行实质审查;无论 【好快吧下载】 经营者是否已进行审查,用户均应自行承担因其传输的作品、信息、内容而可能或已经产生的侵权或权属纠纷等法律责任。
本站所有资源不代表本站的观点或立场,基于网友分享,根据中国法律《信息网络传播权保护条例》第二十二条之规定,若资源存在侵权或相关问题请联系本站客服人员,8686821#qq.com,请把#换成@,本站将给予最大的支持与配合,做到及时反馈和处理。关于更多版权及免责申明参见 版权及免责申明