learning opencv 3

Labels: opencv learning notes To learn opencv well, you must first know how to configure the environment. Take your own configuration environment as an example. The steps are as follows. Step 1 download and decompress the opencv source code Although many third-party websites and some

line transformations in OpenCV: 3.2 The principle of Hough line transformation"1" It is known that a straight line in the image two-dimensional space can be represented by two variables, such as:(1) in Cartesian coordinate system: can be represented by parameters: slope and intercept (M,B)(2) in polar coordinate system: can be represented by parameters: polar diameter and polar angleFor the Hough transform, we will use the second polar coordinate sys

. CvcreatedataAllocates array data // allocate memory space for the ArrayVoid cvcreatedata (cvarr * ARR );Arr array header // arr is the array Header The function allocates image, matrix or multi-dimen1_array data. Note that in the caseOf Matrix types opencv allocation functions are used and in the case of iplimage they are usedUnless CV turn on IPL compatibility was called. In the latter case IPL functions are usedTo allocate the data. // This funct

Cool liukun321 From: http://blog.csdn.net/liukun321 First obtain the latest opencv 2.4.9 source code: opencv source code download 1. opencv environment variable configuration 1. Install the source code to the specified directory: 2. Add an environment variable for opencv: Computer --> properties click Advanced Syste

To learn opencv well, you must first know how to configure the environment. Take your own configuration environment as an example. The steps are as follows. Step 1 download and decompress the opencv source code Although many third-party websites and some learning forums provide opencv source code downloads, we recommen

dictionary as follows: process was med byComputer that releases the block of information from memory and allows that information to be used by a different program. The book is totally wrong.2. We recommend that youProgramDo not directly run the program supporting the CD. Pay attention to many small details.3. It is recommended that you go to opencv.org.cn to indicate all error table and Forum error submissions in the book when you first buy the book.

right of that equation in the lower right corner Z:F is each camera's own focal length, which is the distance between the sensor and the lens.T is the distance between two camera lenses, these are OK.D is indeterminate, D is the image of an object on the two sensors, that is, the distance between XL and XR, is a variable. So in order to get the distance, we need to obtain the value of D each time, then we can find Z according to the similarity triangle principle. Now the question is, why is the

summarize them here for your use (the listed articles can be obtained by Google ):1. Use opencv for background modeling, but the code is difficult and the effect is average. Start by reading the code and try to write it by yourself.Article: stauffer, Chris and Grimson, W. E. L. quot; Adaptive Background Mixture Models for real-time tracking quot;, computer vision and pattern recognition 19992. meanshift is used for tracking.

the two cvcreatedata () functions are responsible only for the memory allocation of the data. Sometimes, only the function Cvcreatematheader () is required because storage space has been allocated for other reasons, or because storage space is not yet ready to be allocated. The third method uses the function Cvclonemat (cvmat*), which creates a new matrix based on an existing matrix. When the matrix is no longer needed, you can call the function Cvreleasemat (cvmat*) to release it. The above fu

Original works, reproduced please indicate the source In order to enhance the force lattice, decided to learn OpenCV, think if you can face recognition, fixed-point landing, let the plane fly with their own. It's a little bit exciting to think about it. This is just thinking, can learn not to know yet. Ha.. 1: Download first:http://sourceforge.net/projects/opencvlibrary/ can go down here, I'm under 2.4.10 version, window under. feel that the

A mainstream face detection method is like Haar + embedding sting, which is also used in opencv. This method can be applied to the detection of rigid objects, provided that the cascade classifier (for example, the Haar-like feature) is trained. Once the training data is completed, the cascadeclassifier class in opencv is called directly, you can use several simple member functions to complete the detection

to illustrate the following four problems: 1. In the coordinate system, the zero point coordinate is the upper left corner of the image, the X axis is the above horizontal line of the image rectangle, and the Y axis is the vertical line on the left side of the image rectangle. This coordinate system is applicable to structures such as mat, rect, and point. (Although I learned on the Internet that the coordinate origin of some data structures in opencv