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Description: System identification with adaptive filter using full and partial-update Affine Projection Algorithm
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Size: 6144 |
Author: Peter Tiong |
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Description: 在基于Mean-Shift的目标跟踪算法中，尺度自适应机制是算法研究的一个重要方向。一种典型的方法采
用Lindeberg的尺度空间理论以获取目标尺度信息。但现有算法中将尺度由2．D矢量压缩为1一D量，未能精细地
刻画目标仿射变换时的尺度变化，从而限制了算法的适用范围。为此，该文将尺度维1．D滤波推广至2一D，构造得
到了相应的垂D尺度空间，并利用窄间维和尺度维的Mean-Shift交替迭代，实现了同时在空间位置和尺度方向对
目标的有效跟踪，提高了算法在目标尺度变化时的自适应性，并扩大了算法的适用范围。
关键-Scale adaptive mechanism in the target tracking algorithm based on Mean-Shift algorithm is an important direction of research. A typical method using Lindeberg' s scale space theory to obtain the target scale. However, the existing algorithms will scale from 2. D vector compression for 1-D volume, not fine to portray the target affine transformation of scale changes, thus limiting the scope of application of the algorithm. To this end, the paper will scale dimension. D filter to the 2-D structure has been the vertical D scale space and the use of narrow inter-dimension and scale dimension of the Mean-Shift alternating iteration, effective tracking of the target position in space and scale direction to improve the self-adaptive algorithm when the target scale changes, and to expand the scope of application of the algorithm. Key
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Size: 536576 |
Author: 张娜 |
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Description: 图像的几何变换
包括: 图像的平移、任意角度的旋转、缩放和翻转、仿射变换等；
2. 图像增强
包括：图像空域的平滑滤波和锐化滤波增强
-Image geometric transformations include: image translation, rotation at any angle, zoom and flip, affine transformation 2 image enhancements include: image airspace smoothing and sharpening filter to enhance
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Size: 4096 |
Author: 郑义 |
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Description: 图像处理器：灰度变换、中值滤波、膨胀、腐蚀、傅里叶变换、仿射变换、油画效果、图片保存等(Image processor: gray level transformation, median filter, expansion and corrosion, Fu Liye transform, affine transformation, oil painting effect, picture preservation, etc.)
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Size: 599040 |
Author: 梦想中的小蜗牛
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Description: 进行仿射变换，实现视频的去抖动，没有卡尔曼滤波，可以实现，有问题找我(Affine transformation, the realization of video jitter, no Calman filter can be achieved, there is a problem to find me)
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Size: 2048 |
Author: 大超
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