登录
首页 » matlab » NBU-SIRQA-master

NBU-SIRQA-master

于 2019-11-23 发布
0 163
下载积分: 1 下载次数: 3

代码说明:

说明:  立体图像质量评价方向优秀论文的实现代码,仅供参考。(Stereo image quality evaluation direction of the excellent paper implementation code, for reference only.)

文件列表:

NBU-SIRQA-master\README.md, 565 , 2018-12-23
NBU-SIRQA-master\TEST-only\BWRegistration.m, 2326 , 2018-12-23
NBU-SIRQA-master\TEST-only\ComputeOccl_L.m, 1590 , 2018-12-23
NBU-SIRQA-master\TEST-only\ComputeOccl_R.m, 1678 , 2018-12-23
NBU-SIRQA-master\TEST-only\disparity\flow_code\@alt_ba_optical_flow\alt_ba_optical_flow.m, 5129 , 2018-08-28
NBU-SIRQA-master\TEST-only\disparity\flow_code\@alt_ba_optical_flow\compute_flow.m, 7089 , 2018-08-28
NBU-SIRQA-master\TEST-only\disparity\flow_code\@alt_ba_optical_flow\compute_flow_base.m, 6539 , 2018-08-28
NBU-SIRQA-master\TEST-only\disparity\flow_code\@alt_ba_optical_flow\display.m, 2456 , 2018-08-28
NBU-SIRQA-master\TEST-only\disparity\flow_code\@alt_ba_optical_flow\evalaute_new_log_posterior.m, 3023 , 2018-08-28
NBU-SIRQA-master\TEST-only\disparity\flow_code\@alt_ba_optical_flow\evaluate_log_posterior.m, 3101 , 2018-08-28
NBU-SIRQA-master\TEST-only\disparity\flow_code\@alt_ba_optical_flow\flow_operator.m, 4915 , 2018-08-28
NBU-SIRQA-master\TEST-only\disparity\flow_code\@alt_ba_optical_flow\parse_input_parameter.m, 3082 , 2018-08-28
NBU-SIRQA-master\TEST-only\disparity\flow_code\@alt_ba_optical_flow\subsasgn.m, 2762 , 2018-08-28
NBU-SIRQA-master\TEST-only\disparity\flow_code\@alt_ba_optical_flow\subsref.m, 2689 , 2018-08-28
NBU-SIRQA-master\TEST-only\disparity\flow_code\@ba_optical_flow\ba_optical_flow.m, 4904 , 2018-08-28
NBU-SIRQA-master\TEST-only\disparity\flow_code\@ba_optical_flow\compute_flow.m, 6648 , 2018-08-28
NBU-SIRQA-master\TEST-only\disparity\flow_code\@ba_optical_flow\compute_flow_base.m, 5727 , 2018-08-28
NBU-SIRQA-master\TEST-only\disparity\flow_code\@ba_optical_flow\display.m, 2442 , 2018-08-28
NBU-SIRQA-master\TEST-only\disparity\flow_code\@ba_optical_flow\estimate_flow_gradient_ascent.m, 2265 , 2018-08-28
NBU-SIRQA-master\TEST-only\disparity\flow_code\@ba_optical_flow\evaluate_log_posterior.m, 3117 , 2018-08-28
NBU-SIRQA-master\TEST-only\disparity\flow_code\@ba_optical_flow\evaluate_log_posterior_grad.m, 3494 , 2018-08-28
NBU-SIRQA-master\TEST-only\disparity\flow_code\@ba_optical_flow\evaluate_log_posterior_grad_test.m, 2911 , 2018-08-28
NBU-SIRQA-master\TEST-only\disparity\flow_code\@ba_optical_flow\flow_operator.m, 4770 , 2018-08-28
NBU-SIRQA-master\TEST-only\disparity\flow_code\@ba_optical_flow\flow_operator_test.m, 3052 , 2018-08-28
NBU-SIRQA-master\TEST-only\disparity\flow_code\@ba_optical_flow\parse_input_parameter.m, 3082 , 2018-08-28
NBU-SIRQA-master\TEST-only\disparity\flow_code\@ba_optical_flow\subsasgn.m, 2766 , 2018-08-28
NBU-SIRQA-master\TEST-only\disparity\flow_code\@ba_optical_flow\subsref.m, 2685 , 2018-08-28
NBU-SIRQA-master\TEST-only\disparity\flow_code\@classic_nl_optical_flow\classic_nl_optical_flow.m, 5848 , 2018-08-28
NBU-SIRQA-master\TEST-only\disparity\flow_code\@classic_nl_optical_flow\compute_flow.m, 7259 , 2018-08-28
NBU-SIRQA-master\TEST-only\disparity\flow_code\@classic_nl_optical_flow\compute_flow_base.m, 6418 , 2018-08-28
NBU-SIRQA-master\TEST-only\disparity\flow_code\@classic_nl_optical_flow\display.m, 2459 , 2018-08-28
NBU-SIRQA-master\TEST-only\disparity\flow_code\@classic_nl_optical_flow\evalaute_wa_log_posterior.m, 5372 , 2018-08-28
NBU-SIRQA-master\TEST-only\disparity\flow_code\@classic_nl_optical_flow\evaluate_log_posterior.m, 3116 , 2018-08-28
NBU-SIRQA-master\TEST-only\disparity\flow_code\@classic_nl_optical_flow\flow_operator.m, 4768 , 2018-08-28
NBU-SIRQA-master\TEST-only\disparity\flow_code\@classic_nl_optical_flow\parse_input_parameter.m, 3082 , 2018-08-28
NBU-SIRQA-master\TEST-only\disparity\flow_code\@classic_nl_optical_flow\subsasgn.m, 2763 , 2018-08-28
NBU-SIRQA-master\TEST-only\disparity\flow_code\@classic_nl_optical_flow\subsref.m, 2690 , 2018-08-28
NBU-SIRQA-master\TEST-only\disparity\flow_code\@hs_optical_flow\compute_flow.m, 4198 , 2018-08-28
NBU-SIRQA-master\TEST-only\disparity\flow_code\@hs_optical_flow\compute_flow_base.m, 3653 , 2018-08-28
NBU-SIRQA-master\TEST-only\disparity\flow_code\@hs_optical_flow\compute_flow_increment_cgd.m, 3698 , 2018-08-28
NBU-SIRQA-master\TEST-only\disparity\flow_code\@hs_optical_flow\display.m, 2452 , 2018-08-28
NBU-SIRQA-master\TEST-only\disparity\flow_code\@hs_optical_flow\evaluate_log_posterior.m, 2463 , 2018-08-28
NBU-SIRQA-master\TEST-only\disparity\flow_code\@hs_optical_flow\evaluate_log_posterior_grad.m, 3479 , 2018-08-28
NBU-SIRQA-master\TEST-only\disparity\flow_code\@hs_optical_flow\flow_operator.m, 3440 , 2018-08-28
NBU-SIRQA-master\TEST-only\disparity\flow_code\@hs_optical_flow\hs_optical_flow.m, 4372 , 2018-08-28
NBU-SIRQA-master\TEST-only\disparity\flow_code\@hs_optical_flow\parse_input_parameter.m, 3233 , 2018-08-28
NBU-SIRQA-master\TEST-only\disparity\flow_code\@hs_optical_flow\subsasgn.m, 2760 , 2018-08-28
NBU-SIRQA-master\TEST-only\disparity\flow_code\@hs_optical_flow\subsref.m, 2688 , 2018-08-28
NBU-SIRQA-master\TEST-only\disparity\flow_code\data\other-data\RubberWhale\frame10.png, 360913 , 2018-08-28
NBU-SIRQA-master\TEST-only\disparity\flow_code\data\other-data\RubberWhale\frame11.png, 361085 , 2018-08-28
NBU-SIRQA-master\TEST-only\disparity\flow_code\data\other-gt-flow\RubberWhale\flow10.flo, 1812748 , 2018-08-28
NBU-SIRQA-master\TEST-only\disparity\flow_code\estimate_flow_demo.m, 5220 , 2018-08-28
NBU-SIRQA-master\TEST-only\disparity\flow_code\estimate_flow_interface.m, 3134 , 2018-08-28
NBU-SIRQA-master\TEST-only\disparity\flow_code\load_of_method.m, 6734 , 2018-08-28
NBU-SIRQA-master\TEST-only\disparity\flow_code\readme.pdf, 38896 , 2018-08-28
NBU-SIRQA-master\TEST-only\disparity\flow_code\utils\@robust_function\deriv.m, 1972 , 2018-08-28
NBU-SIRQA-master\TEST-only\disparity\flow_code\utils\@robust_function\deriv_over_x.m, 2036 , 2018-08-28
NBU-SIRQA-master\TEST-only\disparity\flow_code\utils\@robust_function\display.m, 2007 , 2018-08-28
NBU-SIRQA-master\TEST-only\disparity\flow_code\utils\@robust_function\evaluate.m, 1950 , 2018-08-28
NBU-SIRQA-master\TEST-only\disparity\flow_code\utils\@robust_function\evaluate_log.m, 2033 , 2018-08-28
NBU-SIRQA-master\TEST-only\disparity\flow_code\utils\@robust_function\private\charbonnier.m, 2650 , 2018-08-28
NBU-SIRQA-master\TEST-only\disparity\flow_code\utils\@robust_function\private\gaussian.m, 2252 , 2018-08-28
NBU-SIRQA-master\TEST-only\disparity\flow_code\utils\@robust_function\private\geman_mcclure.m, 2277 , 2018-08-28
NBU-SIRQA-master\TEST-only\disparity\flow_code\utils\@robust_function\private\generalized_charbonnier.m, 2424 , 2018-08-28
NBU-SIRQA-master\TEST-only\disparity\flow_code\utils\@robust_function\private\huber.m, 2386 , 2018-08-28
NBU-SIRQA-master\TEST-only\disparity\flow_code\utils\@robust_function\private\lorentzian.m, 2317 , 2018-08-28
NBU-SIRQA-master\TEST-only\disparity\flow_code\utils\@robust_function\private\mixture.m, 3071 , 2018-08-28
NBU-SIRQA-master\TEST-only\disparity\flow_code\utils\@robust_function\private\quadratic.m, 2223 , 2018-08-28
NBU-SIRQA-master\TEST-only\disparity\flow_code\utils\@robust_function\private\spline.m, 2243 , 2018-08-28
NBU-SIRQA-master\TEST-only\disparity\flow_code\utils\@robust_function\private\tdist.m, 2784 , 2018-08-28
NBU-SIRQA-master\TEST-only\disparity\flow_code\utils\@robust_function\private\tdist_unnorm.m, 2415 , 2018-08-28
NBU-SIRQA-master\TEST-only\disparity\flow_code\utils\@robust_function\private\tukey.m, 2394 , 2018-08-28
NBU-SIRQA-master\TEST-only\disparity\flow_code\utils\@robust_function\robust_function.m, 4757 , 2018-08-28
NBU-SIRQA-master\TEST-only\disparity\flow_code\utils\@robust_function\subsasgn.m, 2483 , 2018-08-28
NBU-SIRQA-master\TEST-only\disparity\flow_code\utils\@robust_function\subsref.m, 2472 , 2018-08-28
NBU-SIRQA-master\TEST-only\disparity\flow_code\utils\compute_conv2_valid_mask.m, 2367 , 2018-08-28
NBU-SIRQA-master\TEST-only\disparity\flow_code\utils\compute_image_pyramid.m, 2506 , 2018-08-28
NBU-SIRQA-master\TEST-only\disparity\flow_code\utils\compute_image_pyramid2.m, 2739 , 2018-08-28
NBU-SIRQA-master\TEST-only\disparity\flow_code\utils\convmtxn.m, 4045 , 2018-08-28
NBU-SIRQA-master\TEST-only\disparity\flow_code\utils\denoise_color_weighted_medfilt2.m, 4793 , 2018-08-28
NBU-SIRQA-master\TEST-only\disparity\flow_code\utils\denoise_LO.m, 2462 , 2018-08-28
NBU-SIRQA-master\TEST-only\disparity\flow_code\utils\denoise_robust2.m, 3458 , 2018-08-28
NBU-SIRQA-master\TEST-only\disparity\flow_code\utils\detect_occlusion.m, 2173 , 2018-08-28
NBU-SIRQA-master\TEST-only\disparity\flow_code\utils\downloaded\copyright.txt, 1551 , 2018-08-28
NBU-SIRQA-master\TEST-only\disparity\flow_code\utils\downloaded\getversion.m, 1839 , 2018-08-28
NBU-SIRQA-master\TEST-only\disparity\flow_code\utils\downloaded\Lab2RGB.m, 2039 , 2018-08-28
NBU-SIRQA-master\TEST-only\disparity\flow_code\utils\downloaded\license.txt, 1334 , 2018-08-28
NBU-SIRQA-master\TEST-only\disparity\flow_code\utils\downloaded\RGB2Lab.m, 1881 , 2018-08-28
NBU-SIRQA-master\TEST-only\disparity\flow_code\utils\evaluate_weighted_energy.m, 7412 , 2018-08-28
NBU-SIRQA-master\TEST-only\disparity\flow_code\utils\flowAngErr.m, 2907 , 2018-08-28
NBU-SIRQA-master\TEST-only\disparity\flow_code\utils\flowColorCode\colorTest.m, 2448 , 2018-08-28
NBU-SIRQA-master\TEST-only\disparity\flow_code\utils\flowColorCode\computeColor.m, 3178 , 2018-08-28
NBU-SIRQA-master\TEST-only\disparity\flow_code\utils\flowColorCode\flowToColor.m, 2681 , 2018-08-28
NBU-SIRQA-master\TEST-only\disparity\flow_code\utils\flowColorCode\readFlowFile.m, 2775 , 2018-08-28
NBU-SIRQA-master\TEST-only\disparity\flow_code\utils\flowColorCode\README.txt, 239 , 2018-08-28
NBU-SIRQA-master\TEST-only\disparity\flow_code\utils\flowColorCode\writeFlowFile.m, 2565 , 2018-08-28
NBU-SIRQA-master\TEST-only\disparity\flow_code\utils\flow_aae.m, 2423 , 2018-08-28
NBU-SIRQA-master\TEST-only\disparity\flow_code\utils\imfiltermtx.m, 6298 , 2018-08-28
NBU-SIRQA-master\TEST-only\disparity\flow_code\utils\imwarp.m, 3960 , 2018-08-28
NBU-SIRQA-master\TEST-only\disparity\flow_code\utils\interp2_bicubic.m, 6172 , 2018-08-28

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

  • 斜距转为地距
    说明:  进行三维去高后,根据sar参数信息,将斜距转变为地距。(After performing three-dimensional height removal, the slope distance is converted to ground distance according to the sar parameter information.)
    2021-01-29 11:58:39下载
    积分:1
  • Python-Multiple-Image-Stitching-master
    图像拼接,这是个图像拼接,还能说什么呢我的天是不是傻要字数限制(image fusion i have to think something to explain how to congraduation this website)
    2020-06-18 03:20:02下载
    积分:1
  • toolbox_signal
    curvelet transform and ridgelet transform source code
    2012-09-13 20:00:59下载
    积分:1
  • AForge.NET-sample
    AForge.NET-sample
    2019-07-30下载
    积分:1
  • mscale_featmatch
    图像立体匹配的有关源码,挺不错的,一起来分享吧(Matching three-dimensional image of the source, very good one to share with you)
    2008-05-18 15:11:18下载
    积分:1
  • US Test
    说明:  本代码可以载入超声图像,然后通过标注连通区域,自动截取最大连通区域对应的图像部分,达到去除四周标注的目的(After loading the ultrasonic image, the image part can be automatically cut off to remove the surrounding annotation)
    2020-04-16 23:20:12下载
    积分:1
  • CODE
    image compression using dwt and dct
    2012-08-01 14:29:24下载
    积分:1
  • timesat302.part1
    Timesat3.2,用于遥感影像的NDVI时间序列分析,提取物候参数。 (Timesat3.2, NDVI time series for the analysis of remote sensing images, extract phenological parameters.)
    2017-03-21 09:09:22下载
    积分:1
  • Complex-environments-face-detection
    提出了一种针对复杂环境下的过人脸检测方法,首先在CbCgCr空间利用直接最小二乘法构建了对光照和复杂背景鲁棒性更好肤色聚类模型,实现了准确的肤色检测;然后针对人脸中姿态和表情变化,提出了基于Adaboost的多姿态人脸检测,精确的实现了人脸检测定位。(Extraordinary face detection method for complex environments, the first space CbCgCr ​ ​ direct least squares method to build a better robustness to light and complex background color clustering model to achieve accurate color detection forface, posture and facial expression changes, proposed the multi-pose face detection based on Adaboost, accurate face detection and location. )
    2012-04-09 09:54:11下载
    积分:1
  • EDLines 快速直线检测算子
    EDLines是一种快速直线检测算子,2012年在ICCV上提出,也是目前处理直线检测最快的算法之一,该算法包含三个步骤:(1)边缘提取:利用Edge Drawing (ED)算法[28,29]从灰度图像中提取边缘片段;(2)线段检测:利用最小二乘法提取直线段;(3)线段确认:遵循Helmholtz定律,从已提取的直线段中摒弃虚假线段。EDLines算法的优越性得益于Edge Drawing (ED)算法能够从灰度图像中准确、快速、稳定地提取出光滑、完整的边缘片段。Edge Drawing (ED)算法包含以下步骤: (1)采用size=5*5,σ=1的高斯核对灰度图像进行平滑滤波,去除噪声; (2)采用一种常用的梯度算子,如Prewitt、Sobel或Scharr等计算平滑后图像中每个像素点的梯度幅度和梯度方向; (3)将梯度图中邻域内幅度最大的像素点标记为锚点,这些锚点成为图像边缘点(edge elements)的概率很大; (4)将相邻的锚点连接成边缘线。从一个锚点起始,ED利用相邻像素的梯度幅度和方向在梯度为最大值的锚点之间游走。 (Edge Drawing (ED) is our recently-proposed, novel, fast edge detection algorithm. What makes ED stand out the existing edge detectors, e.g., Canny, is the following: While the other edge detectors give out a binary edge image as output, where the etected edge pixels are usually independent, discontinuous entities ED produces a set of edge segments, which are clean, contiguous, i.e., connected, chains of edge pixels. Thus, while the output of the other edge detectors requires urther processing to generate potential object boundaries, which may not even be possible or result in inaccuracies ED not only produces perfectly connected object boundaries by default, but it also achieves this in blazing speed compared to other edge detector.)
    2021-03-22 16:29:16下载
    积分:1
  • 696518资源总数
  • 106155会员总数
  • 8今日下载