1. Overview PCL point cloud boundary feature detection (with complete code C++)_pcl calculates point cloud feature values_McQueen_LT’s blog-CSDN blog In terms of point cloud boundary feature detection (grid model boundary feature detection is already a deterministic problem, see grid model boundary detection), there is a method in PCL for point cloud boundaries that can be […]
Tag: contour
[OpenCV implements images to find different features of contours, such as area, perimeter, centroid, bounding box, etc.
Article directory summary image moment convex hull bounding rectangle Summary OpenCV is a popular computer vision library that provides many image processing and analysis functions, including finding the outlines of objects in images. By finding contours, many useful features can be extracted, such as area, perimeter, centroid, bounding box, etc. Here are several common features […]
Face key point contour drawing: an effective cross-domain application technology
Table of Contents 1. The importance of contour drawing of facial key points 2. How to find key points on faces 3. Specific implementation of facial key point contour drawing 1. Define the line drawing function 2. Define key point drawing function 3. Positioning of key points 4. Key point drawing 5. Complete code and […]
About the contourArea calculation method of opencv
The contour area calculated by cv::contourArea is not equal to the count of contour points because cv::contourArea is calculated based on Green’s formula. Discussion by foreigners github To give an intuitive example, there are 7 pixels in the picture. Orange is the line connecting the contour points. According to the definition of contourArea, the area […]
Image Processing: Contours – Creating bounding rotation boxes and ellipses for contours OpenCV v4.8.0
Previous tutorial: Creating bounding boxes and circles for outlines Next tutorial: Image moments Original author Ana Huamán Compatibility OpenCV >= 3.0 Goals In this tutorial you will learn how to Use the OpenCV function cv::minAreaRect Use the OpenCV function cv::fitEllipse Code C++ The tutorial code is shown below. You can also download it from here […]
Image Processing: Contours – Find Contours in Images
Previous tutorial: Template Matching Next tutorial: Convex hull Original author Ana Huamán Compatibility OpenCV >= 3.0 Goals In this tutorial you will learn how to Use the OpenCV function cv::findContours Use the OpenCV function cv::drawContours Code C++ The tutorial code is shown below. You can also download it from here #include “opencv2/imgcodecs.hpp” #include “opencv2/highgui.hpp” #include […]
Image processing: Contours – Creating bounding boxes and circles for contours OpenCV v4.8.0
Previous tutorial: Convex hull Next tutorial: Creating rotated bounding boxes and ellipses for contours Original author Ana Huamán Compatibility OpenCV >= 3.0 Goals In this tutorial you will learn how to Use the OpenCV function cv::boundingRect Use the OpenCV function cv::minEnclosingCircle Code C++ The tutorial code is shown below. You can also download it from […]
Image processing: Contour – Image Moment OpenCV v4.8.0
Previous tutorial: Creating bounding spin boxes and ellipses for outlines Next tutorial: Point Polygon Test Original author Ana Huamán Compatibility OpenCV >= 3.0 Goals In this tutorial you will learn how to Use the OpenCV function cv::moments Use the OpenCV function cv::contourArea Use the OpenCV function cv::arcLength Code C++ The tutorial code is shown below. […]
Image processing: Contour – Convex Hull OpenCV v4.8.0
Previous tutorial: Finding contours in an image Next tutorial: Creating bounding boxes and circles for outlines Original author Ana Huamán Compatibility OpenCV >= 3.0 Goals In this tutorial you will learn how to Use the OpenCV function cv::convexHull Code C++ The tutorial code is shown below. You can also download it from here #include “opencv2/imgcodecs.hpp” […]
Automatic annotation of video target semantic segmentation – from image contour extraction to conversion into json tag file
Foreword Semantic segmentation data annotation is the process of preparing data for training semantic segmentation models. Semantic segmentation is a task in the field of computer vision, where each pixel in an image needs to be assigned a class label to distinguish different objects or regions. When labeling data, you typically assign a unique label […]