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Optical Flow in OpenCV (C++/Python)

January 4, 2021 By Leave a Comment

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 ...

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Filed Under: Classical Computer Vision, Theory, Video Analysis

Depth Estimation using Stereo matching

December 21, 2020 By Leave a Comment

stereo_matching_frontal_image

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. ...

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Filed Under: Deep Learning, Paper Overview, PyTorch, Theory

Understanding Lens Distortion

October 5, 2020 By Leave a Comment

In a previous post, we went over the geometry of image formation and learned how a point in 3D gets projected on to the image plane of a camera. The model we used was based on the pinhole camera ...

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Filed Under: Camera Calibration, Classical Computer Vision, Image Alignment, Theory

Build and Install OpenCV 4 for Raspberry Pi

July 10, 2020 By Leave a Comment

OpenCV for RaspberyyPi

Raspberry Pi is a small ARM computer with a camera, a network controller, and Linux on board. That makes it a good choice for DIY computer vision projects. In this post, we will learn how to build ...

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Filed Under: how-to, Install, OpenCV 4, Performance, Theory, Tutorial, Uncategorized

Zero-shot Learning : An Introduction

June 8, 2020 By Leave a Comment

Zero shot learning

Deep learning based models have achieved the state of the art performance for image recognition and object detection tasks in the recent past. Many of these models are able to achieve human level ...

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Filed Under: Deep Learning, Theory

Fully Convolutional Image Classification on Arbitrary Sized Image

March 2, 2020 By Leave a Comment

Fully Convolutional Image Classification

In this post, we will learn how to perform image classification on arbitrary sized images without using the computationally expensive sliding window approach. This post is written for people who ...

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Filed Under: Deep Learning, how-to, Image Classification, PyTorch, Theory, Tutorial

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About

I am an entrepreneur with a love for Computer Vision and Machine Learning with a dozen years of experience (and a Ph.D.) in the field.

In 2007, right after finishing my Ph.D., I co-founded TAAZ Inc. with my advisor Dr. David Kriegman and Kevin Barnes. The scalability, and robustness of our computer vision and machine learning algorithms have been put to rigorous test by more than 100M users who have tried our products. Read More…

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Recent Posts

  • RAFT: Optical Flow estimation using Deep Learning
  • Making A Low-Cost Stereo Camera Using OpenCV
  • Optical Flow in OpenCV (C++/Python)
  • Introduction to Epipolar Geometry and Stereo Vision
  • Depth Estimation using Stereo matching

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All views expressed on this site are my own and do not represent the opinions of OpenCV.org or any entity whatsoever with which I have been, am now, or will be affiliated.

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