Search - pca algorithm in image in matlab

Search - pca algorithm in image in matlab - List

[Special Effects] KPCAandPCA DL : 0: 含有pca和kpca算法，具有很好的在图像处理方面的应用-contain pca and kpca algorithm, is very good in image processing the application
Date : 2025-12-27 Size : 12kb User : yssx090
[Special Effects] sift DL : 0: 1 SIFT 发展历程 SIFT算法由D.G.Lowe 1999年提出，2004年完善总结。后来Y.Ke将其描述子部分用PCA代替直方图的方式，对其进行改进。 2 SIFT 主要思想 SIFT算法是一种提取局部特征的算法，在尺度空间寻找极值点，提取位置，尺度，旋转不变量。 3 SIFT算法的主要特点： a) SIFT特征是图像的局部特征，其对旋转、尺度缩放、亮度变化保持不变性，对视角变化、仿射变换、噪声也保持一定程度的稳定性。 b) 独特性(Distinctiveness)好，信息量丰富，适用于在海量特征数据库中进行快速、准确的匹配[23]。 c) 多量性，即使少数的几个物体也可以产生大量SIFT特征向量。 d) 高速性，经优化的SIFT匹配算法甚至可以达到实时的要求。 e) 可扩展性，可以很方便的与其他形式的特征向量进行联合。 4 SIFT算法步骤： 1）检测尺度空间极值点 2）精确定位极值点 3）为每个关键点指定方向参数 4）关键点描述子的生成本包内容为sift算法matlab源码-1 SIFT course of development SIFT algorithm by DGLowe in 1999, the perfect summary of 2004. Later Y.Ke its description of the sub-part of the histogram with PCA instead of its improvement. 2 the SIFT main idea The SIFT algorithm is an algorithm to extract local features in scale space to find the extreme point of the extraction location, scale, rotation invariant. 3 the main features of the SIFT algorithm: a) SIFT feature is the local characteristics of the image, zoom, rotate, scale, brightness change to maintain invariance, the perspective changes, affine transformation, the noise also maintain a certain degree of stability. b) unique (Distinctiveness), informative, and mass characteristics database for fast, accurate matching [23]. c) large amounts, even if a handful of objects can also produce a large number of SIFT feature vectors. d) high-speed and optimized SIFT matching algorithm can even achieve real-time requirements. e) The scalability can be very convenient fe
Date : 2025-12-27 Size : 2.7mb User : 李青彦
[Special Effects] 2DPCA DL : 0: 这是一个在MATLAB中实现的基于PCA算法的人脸图像处理代码-This is based on PCA algorithm of a face image processing code implemented in MATLAB
Date : 2025-12-27 Size : 3kb User : 小贱
[Special Effects] PCA DL : 0: 非常经典的特征提取算法，经常用来做降维方法，但是也可以直接用来做特征提取，很适合图像处理入门，在人脸识别也经常用到(Very classic feature extraction algorithm, often used to do dimensionality reduction methods, but can also be used directly to do feature extraction, it is suitable for image processing, in face recognition is often used)
Date : 2025-12-27 Size : 6.49mb User : firefly1
[Special Effects] 人脸识别 MATLAB代码 DL : 0: 使用pca方法对图像进行特征提取，对训练集的20个人的共一百张人脸进行训练，使用adaboost算法生成强分类器，可以对测试集的人脸图片进行识别，且识别率较高(The PCA method is used to extract the features of the image, and the training is carried out for a total of 100 faces of 20 people in the training set. The AdaBoost algorithm is used to generate a strong classifier, which can recognize the face images in the test set with a high recognition rate)
Date : 2025-12-27 Size : 18.92mb User : 王二愣子