In today's post we will describe a class of region filling algorithms called image inpainting. Imagine finding an old family photograph. You scan it and it looks great except for a few ...
In this post, we will compare the performance of various Deep Learning inference frameworks on a few computer vision tasks on the CPU. Surprisingly, with one exception, the OpenCV port of various ...
In this post, we will show how to use Hu Moments for shape matching. You will learn the following What are image moments?How are image moments calculated?What are Hu moment invariants (or Hu ...
It gives me immense pleasure to announce the best project award for our online course "Computer Vision for Faces" (cv4faces) for this semester. Why do we have a Final Project in our course? ...
In computer vision the term "image segmentation" or simply "segmentation" refers to dividing the image into groups of pixels based on some criteria. A segmentation algorithm takes an image as ...
In this post, we will cover how to use OpenCV's multi-object tracking API implemented using the MultiTracker class. We will share code in both C++ and Python. Before we dive into the details, ...
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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.
