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 ...
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 ...
Neural network usage usually takes a lot of computations, but in our modern world, even a smartphone can be a device to run your trained neural model. Today we will take a look at how we can convert a ...
When it comes to writing optimized code, image loading plays an important role in computer vision. This process can be a bottleneck in many CV tasks and it can often be the culprit behind bad ...
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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.
