搜索资源列表
显著性检测方法
- 显著性检测中方法源代码，matlab,仿真效果还可以，有下载的必要
gbvs
- 新的自下而上的视dmits combination with other maps. The model is simple, and biologically plausible insofar as it is naturally parallelized. This model powerfully predicts human xations on 749 variations of 108 natural images, achieving 98% of the ROC area
Saliency_Detection
- 简单可用的显著性检测程序，用matlab'语言实现，经调试可用。(A matlab code for Saliency Detection)
显著性
- 关于AC，LC和FT的c++程序，MFC界面，计算了算法时间(AC, LC, FT programs)
images
- 显著性对象监测数据集，gt为ground_truth_mask(a dataset for saliency detction which has its gt named ground_truth_mask)
HC
- 本代码是程明明2011发表的文章 基于全局对比度的显著性区域检测，其中HC部分的matlab 实现代码.(global contrast based salient region detection matlab)
BMS-mex
- 显著性检测bms源码，需要下载matlab和opencv可以直接运行(Saliency detection of BMS source code)
caffe-cvpr
- 显着区域检测是计算机视觉中长期存在的问题。它旨在找到最能吸引人眼睛注意的图像中的像素或区域。准确和可靠的显着性检测可以从视觉追踪和识别到图形图像处理等众多任务中受益。例如，成功的对象检测算法有助于自动图像分割，更可靠的对象检测，有效的图像缩略和重定位(Significant regional detection is a long-term problem in computer vision. It aims to find the pixels or regions of the most
caffeine
- 现有的显着性检测方法使用图像作为输入，并且对前景/背景相似性，复杂背景纹理和遮挡敏感。我们探讨了使用光场作为显着性检测的输入的问题。(Existing saliency detection approaches use images as in-puts and are sensitive to foreground/background similari-ties, complex background textures, and occlusions. We ex-plore the pro
新建文件夹 (5)
- 用纹理进行显著性检测，视频显著性检测文章(Use texture for saliency detection)
RC_C++
- 显著性检测的代码，是程明明在12年的CVPR的文章，HC,RC的算法源码。(The code for saliency detection is the source code of Cheng Mingming's CVPR article, HC, RC, in 12 years.)
code-BL
- 显著性检测研究，cvpr上的文章，BL的源代码，有需要请下载(Significance detection research, article on CVPR, source code of BL, need to be downloaded)
XZX
- 全局低秩显著性检测算法首先根据自然图像前景目标和背景亮度、颜色的差异性重构出图像前景显著目标；然后利用低秩分解对图像中的非显著性区域进行抑制。(The global low-rank saliency detection algorithm first reconstructs the image foreground salient targets based on the difference between the natural image foreground target and t
中心先验
- 显著性检测 中心先验,可以使用该代码实现图像的中心先验检测(saliency detection-center prior, which can use this code to estimate the location of salient object)
saliencyMeasure
- 显著性物体检测的matlab代码实现 Rahtu E & Kannala J & Salo M & Heikkil? J (2010) Segmenting salient objects from images and Videos. Proc. European Conference on Computer Vision (ECCV 2010)(Matlab codes for measuring image saliency Segmenting salient
RandomWalkPAMI2011
- 非常棒的 图像显著性检测matlab程序 可以下载试试 基于视觉 图像的显著检测(Excellent image saliency detection matlab program can be downloaded to try visual inspection based on visual images.)
code
- 大连理工大学卢湖川教授团队显著性检测方法(Saliency Detection via Cellular Automata)
显著性物体分割
- 基于超像素和流行学习排序的显著性检测，是显著性检测里的经典文章，代码没有问题，可以后续接上grab cut进行显著目标的分割，分割效果不错。
multiframe
- 一次性将一个文件夹的图像进行谱残差显著性检测，然后保存到指定文件夹。(The image of a folder is detected for spectral residual saliency at one time, and then saved to the specified folder.)
HC
- 4个经典的显著性检测算法之一HC，HC算法和LC算法没有本质的区别，HC算法相比于LC算法考虑了彩色信息。(HC is one of the four classical significance detection algorithms. There is no essential difference between HC algorithm and LC algorithm. Compared with LC algorithm, HC algorithm considers color