搜索资源列表
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经典的Harris角点检测算法经过改进的VC代码,可以用来提取灰度图象的特征点,用于匹配,运动估计,光流计算,形状分析等。-classic Harris corner detection algorithm improved VC code, Gray can be used to extract image feature points for the match, motion estimation, optical flow, shape analysis.
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在vc6.0环境下实现的视频运动估计编码算法-Vc6.0 environment in the realization of motion estimation video coding algorithm
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在快匹配运动估计算法中,它的计算复杂度可以描述成:运算量=搜索点×块匹配准则.该表达式可以这样解释,在快匹配准则确定的情况下,如果一个匹配点的单位运算量确定了,这时动动估计的动算量就有直接取于搜索的点数,也就是取决于运动估计的搜索算法,实现了三步搜索法-Match the fast motion estimation algorithm, its computational complexity can be described as: Operational × volume = search
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Image filtering algorithm implementation using MFC. It supports LPF, HPF, making/remove noize, opening, erosion, dilation, making binary image, thinning, wavelet transform, DCT/IDT, hardamard transform, motion estimation with 2 iamges -Image filterin
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Image filtering algorithm implementation using MFC. It supports LPF, HPF, making/remove noize, opening, erosion, dilation, making binary image, thinning, wavelet transform, DCT/IDT, hardamard transform, motion estimation with 2 iamges -Image filterin
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Image filtering algorithm implementation using MFC. It supports LPF, HPF, making/remove noize, opening, erosion, dilation, making binary image, thinning, wavelet transform, DCT/IDT, hardamard transform, motion estimation with 2 iamges -Image filterin
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在机动目标跟踪中,机动目标模型是机动目标跟踪的基本要素之一,一般希望机动目标模型能准确表征目标机动时的各种运动状态。比较常用的模型有匀速运动(CV)模型、匀加速运动(CA) 模型、时间相关模型(Singer)和机动目标“当前”统计模型。上述模型均采用机动频率表征目标的机动情况。在应用当中,通常采用固定的机动频率,这就表示机动目标的机动时间是一定的,而实际上机动目标的机动时间是不断变化的,也就是说机动频率是不断变化的,采用固定机动频率必然会带来误差。采样周期在0.5—2S时,机动频率越小跟踪精度越
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自适应核密度估计运动检测方法 提出一种自适应的核密度(kernel density estimation, KDE)估计运动检测算法. 算法首先提出一种自适应前景、背景阈值的双阈值选择方法, 用于像素素分类. 该方法用双阈值能克服用单阈值分类存在的不足, 阈值的选择能自适应进行, 且能适应不同的场景. 在此基础上, 本文提出了基于概率的背景更新模型, 按照像素的概率来更新背景, 并利用帧间差分背景模
-Adaptive kernel density estimation motion det
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运动估计块匹配算法,,适用于各种视频编码格式
-Motion estimation block matching algorithm, applicable to a variety of video encoding formats
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motion estimation, three step search algorithm
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LIBVISO2: C++ Library for Visual Odometry 2LIBVISO2 (Library for Visual Odometry 2) is a very fast cross-platfrom (Linux, Windows) C++ library with MATLAB wrappers for computing the 6 DOF motion of a moving mono/stereo camera. The stereo version is b
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块运动估计搜索算法 包含十字搜索 菱形法 钻石法 等等 matlab-search algorithm for fast block-matching motion estimation
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Fast three step search algorithm source code
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Program for Successive Elimination Algorithm
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