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32131312312321njianceok
基于HOUGH变换的车道线检测和识别的程序,可以使用(Lane HOUGH transform detection and recognition based on the program, you can use)
- 2014-04-21 15:16:13下载
- 积分:1
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Joint-Bayesian-master
联合贝叶斯人脸验证python代码,机器学习(Joint Bayes face verification)
- 2018-05-21 10:21:53下载
- 积分:1
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THEPROBABILITYH-THEVIDENCEFUSION
针对杂波环境下的多个机动目标跟踪问题, 本文将多模型概率假设密度 (Multiple-model probability hypothesis
density, MM-PHD) 滤波器和平滑算法相结合, 提出了 MM-PHD 前向 – 后向平滑器. 为了避免引入复杂的随机有限集
(Random finite set, RFS) 理论, 本文根据 PHD 的物理空间 (Physical space) 描述法推导得到了 MM-PHD 平滑器的后向更
新公式. 由于 MM-PHD 前向–后向平滑器的递推公式中包含有多个积分(By integrating the multiple-model probability hypothesis density (MM-PHD) filter with the smoothing al-
gorithms, an MM-PHD forward-backward smoother is proposed in this paper for tracking multiple maneuvering targets
in clutter. To avoid use of complex random finite set (RFS) theory, the backward updated equation of the MM-PHD
smoother can be derived according to the physical-space explanation of the PHD)
- 2013-09-23 15:36:28下载
- 积分:1
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MRI_image_segmentation
用形态学方法和区域增长法进行MRI脑肿瘤图像分割(By morphology and region growing method for MRI brain tumor segmentation)
- 2010-12-11 20:25:24下载
- 积分:1
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CFA
基于CFA(颜色滤波阵列)插值检测的图像篡改检测程序(Image tamper detection based on CFA (color filter array) interpolation detecting.)
- 2020-11-23 10:39:35下载
- 积分:1
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FastLaplace
压缩感知的快速Laplace恢复算法,算法适用于超完备字典(the Beyes
recovery algorithms are similar to the sparse coding based on the over-complete dictionary. )
- 2012-11-23 10:32:14下载
- 积分:1
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my_3_STEP_search
说明: 标准三步搜索法,用matlab实现,经过实验效果还可以(Standard three-step search method, using matlab to achieve, after the experimental effect can also be)
- 2008-11-14 10:30:09下载
- 积分:1
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drfi_matlab-master
drfi图像显著性检测算法源码,基本上是目前表现最好的算法,需要m和c混合编程(source code of DRFI model)
- 2020-09-16 10:27:55下载
- 积分:1
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zhang
张正友的标定工具箱,原来的错误已经更改,源码完全可用!(Zhang Zhengyou Calibration Toolbox, the original error has been changed, complete source code available!)
- 2008-06-23 16:45:52下载
- 积分:1
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Gimp-trainning
Gimp trainning 图形处理教程,适合自学者(Gimp trainning graphics)
- 2011-09-30 20:30:38下载
- 积分:1