Programmer Group

Feature extraction and matching of opencv (2) demo: http://download.csdn.net/detail/keen_zuxwang/9852587 RANSAC is the abbreviation of "RANdom SAmple Consensus Random Sample Consistency". It can estimate the parameters of the mathematical model iteratively from a set of observation data containing "outliers". It is an ...

As mentioned earlier Operation and Significance of Image Convolution And some examples are implemented with filter2D function in OpenCV. The filter 2D function in OpenCV only uses a convolution core to deconvolute a single image matrix. In TensorFlow, the convolution operation is mainly used in the convolution layer of CNN, so the input is no ...

Measuring the quality of NYC Bike Lanes through street imagery stay Another article In this article, I will briefly introduce the image processing and computer vision technologies we use for street images. We've also tried to use it Microsoft Custom Visual Products, based on the simple marking of bicycle lane images, quickly generate classif ...

The Shape Detection API has been released for some time, and its main capability is to give the front-end directly available feature detection interface (including barcode, face, text detection). In this paper, we will briefly introduce it and explain the universality of the front-end face detection. (In this paper, we will not talk about arith ...

iOS Black Technology (AVFoundation) Dynamic Face Recognition (II) In the previous article, we introduced the static face recognition implemented by Core Image. Here we introduce dynamic face recognition, one of the powerful functions of AVFoundation. First, introduce some methods of face recognition. 1. CoreI ...

targetUnderstanding the concept of Harris corner detection* Learning functions: cv2.cornerHarris(), cv2.cornerSubPix() principle In the last section, we already know a characteristic of corners: they move in any direction and change a lot. Chris_Harris and Mike_Stephens proposed corner detection method as early as 1988 ...

Preface CrapSlider verification code cracking is a project that has always wanted to do, after all, most websites will use slider verification code, so recently in the spare time to modify the paper to solve this matter. To make the slider verification code, image processing is the first choice, of course, OpenCV-Python! Of course, my OpenCV is ...

A previous visual computing project called receiving the front-end, so there is a strange demand that the front-end opens the camera, and at the same time needs to send the camera data back to the back-end for image processing (such as beauty ah head with an ornament and so on), which involves data coding coupling between the front-end and the ...

Absrtact: This paper introduces the use of opencv and yolo to complete video stream target detection, code interpretation is detailed, with source code, easy to use. In the previous section This paper introduces how to apply YOLO to image target detection. After learning how to detect a single image, we can also use YOLO algorithm to achieve t ...

Catalog I. Preface Introduction to OpenCV Introduction of OpenCV Module IV. Operating Environment V. Preparations 6. so for compilation VII. Problems and Solutions VIII. EFFECT CHARACTERISTICS I. Preface In order to transplant c++ code to Android and use opencv in c++, it is necessary to call opencv through the bottom layer in An ...