实在是太喜欢Richard Szeliski的这本书了.每一章节(after chapter3)都详述了该研究方向比較新的成果.还有很多很多的reference,假设你感兴趣.全然能够看那些參考论文 Point operators(点算子) 点运算是最简单的一类图像处理运算.如简单的对照度变换,亮度变换 Pixel transform(像素变换) g(x) = af (x) +b    a和b有时被觉得用来控制对照度和亮度,在我的opencv栏目有个样例是简单的对照度和亮度变换,用的就是这个公式…

课程大纲:http://vision.stanford.edu/teaching/cs131_fall1718/syllabus.html 课程定位: 课程交叉: what is (computer) vision?: 1. a scientific field that extracts information out of digital images. 2. building algorithms that can be understand the contnent of image a…

大纲 what is color? The result of interaction between physical light in the environment and our visual system. A psychological property of our visual experiences when we look at objects and lights, not a physical property of those objects or lights. Hu…

Background reading: Forsyth and Ponce, Computer Vision Chapter 7 Image sampling and quantization Types of images: binary, gray scale, color Resolution: DPI: dots per inch, spatial pixel density Image histograms: histogram of an image provides the fre…

向量和矩阵 什么是矩阵/向量? Vectors and matrix are just collections of ordered numbers that represent something: movements in space, scaling factors, pixel brightness, etc. We'll define some common uses and standard operations on them. 向量:列向量/行向量 用处: Vectos can…

深度学习 So far this week Edge detection RANSAC SIFT K-Means Linear classifier Mean-shift PCA/Eigenfaces Image features Current Research Learning hierarchical representations from data End-to-end learning: raw inputs to predictions can use a small set of…

In the 1960s, the legendary Stanford artificial intelligence pioneer, John McCarthy, famously gave a graduate student the job of “solving” computer vision as a summer project. It has occupied an entire community of academic researchers for the past 4…

Participate in Reproducible Research General Image Processing OpenCV (C/C++ code, BSD lic) Image manipulation, matrix manipulation, transforms Torch3Vision (C/C++ code, BSD lic) Basic image processing, matrix manipulation and feature extraction algor…

介绍 我们已经知道,傅里叶变换是一种信号处理中的有力工具,可以帮助我们将图像从空域转换到频域,并提取到空域上不易提取的特征.但是经过傅里叶变换后,图像在不同位置的频度特征往往混合在一起,但是Gabor滤波器却可以抽取空间局部频度特征,是一种有效的纹理检测工具.Figure 1: A sinusoid and it's Fourier spectrum 如何生成一个Gabor滤波器 在二维空间中,使用一个三角函数(如正弦函数)与一个高斯函数叠加我们就得到了一个Gabor滤波器[1],如下图. Fi…

ECCV 2012 (http://eccv2012.unifi.it/program/tutorials/) Vision Applications on Mobile using OpenCVGary Bradski (Industrial Perception), Victor Eruhimov (Itseez), Vadim Pisarevsky (Itseez)http://opencv.org/eccv2012.htmlhttp://eccv2012.unifi.it/program…