SketchCommonCVPR10_v1.1.tar.gz.tar

经典主成分分析法，实现高光谱图像的降维处理 (Classical principal component analysis, to achieve high spectral image dimensionality reduction)

多类图像特征结合上下文信息进行目标识别（分类、分割）(Many types of image features combined with context information for target identification (classification, segmentation))

SURF算法作为一种新近出现的特征提取方法，在重复度、独特性、鲁棒性3个方面，均超越或接近以往提出的同类方法，并在计算效率上具有明显的优势。本代码采用SURF算法检测图像并进行坐标变换与图像拼接。 采用SURF算法对图像进行检测，其主要是用Hessian矩阵对图像进行检测，对图像的特征提取之后找到图像的特征点。之后采用最近临快速匹配（NN）、随机抽样一致性（RANSAC）算法和最小二乘法参数优化（LM）对特征点进行提纯匹配。最后在两幅图像中进行坐标变换，达到统一坐标系和图像拼接的效果。 (SURF（Speeded Up Robust Features） as a method of feature extraction which newly appeared is over or nearly previous method on duplication, uniqueness, and robustness and have a clear advantage on computational efficiency. This code uses the SURF and coordinate transformation algorithm to detect image and image matching. This code uses the SURF algorithm of image detection, the main is to use the Hessian matrix of image for testing, to find the image after image feature extraction of feature points. After we used Nearest Neighbor (NN), Random Sample Consensus (RANSAC) algorithm and least square parameter optimization for purification of matching feature points. Coordinate transformation in the last two images, to coordinate system to achieve the same image stitching. )

use Codeblocks MinGW in openCV

说明：  计算机图形学中应用VC++6.0和DirectX 8.0 SDK制作彩色旋转的金字塔和正方体的小程序(computer graphics application VC 6.0 and DirectX 8.0 SDK produced color rotating cube pyramid and the small program)

楔波变换，在SAR图像中实现边缘检测，为目标识别做铺垫工作。(The wedge waves transform, SAR image edge detection, target identification pave the way for the work.)

说明：  细胞跟踪算法.文件中有细胞的运动模拟视频,说明文件.内容比较复杂,适合于研究生以上的研究人员揣摩.(Tracking Algorithm: Object Delineation Method Multiparticle.)

第二代曲波多聚焦图像融合的MATLAB源代码(the second generation curvelet for multifocus image fusion)

M估计子，计算机视觉大牛Peter Meer出品。(Generalized Projection based M-estimator C++ code to find the robust estimate derived without using any user supplied scale. The theory is described in Generalized Projection Based M-stimator. )

基于置信传播的立体匹配算法，匹配精度较高(Stereo matching algorithm based on belief propagation, high matching accuracy)