In this post, we will discuss about two Deep Learning based approaches for motion estimation using Optical Flow. FlowNet is the first CNN approach for calculating Optical Flow and RAFT which is the ...
Making A Low-Cost Stereo Camera Using OpenCV
In this post, we will learn how to create a custom low-cost stereo camera (using a pair of webcams ) and capture 3D videos with it using OpenCV. We provide code in Python and C++. We all ...
Optical Flow in OpenCV (C++/Python)
In this post, we will learn about the various algorithms for calculating Optical Flow in a video or sequence of frames. We will discuss the relevant theory and implementation in OpenCV of sparse and ...
Introduction to Epipolar Geometry and Stereo Vision
Have you ever wondered why you can experience that wonderful 3D effect when you watch a movie with those special 3D glasses? Or why is it difficult to catch a cricket ball with your one eye closed? It ...
Depth Estimation using Stereo matching
Depth estimation is a critical task for autonomous driving. It's necessary to estimate the distance to cars, pedestrians, bicycles, animals, and obstacles.The popular way to estimate depth is LiDAR. ...
Classification with Localization: Convert any Keras Classifier to a Detector
Image classification is used to solve several Computer Vision problems; right from medical diagnoses, to surveillance systems, on to monitoring agricultural farms. There are innumerable ...