Search Results for: stereo depth
This research article talks about the fine-tuning and inference pipelines of STereo TRansformer (STTR) model, specifically for ADAS.
Gone are the days when setting up the proper hardware and software for a stereo vision project was arduous. Thanks to OpenCV and Luxonis, you no longer have to worry
Have you ever wondered how robots navigate autonomously, grasp different objects, or avoid collisions while moving? Using stereo vision-based depth estimation is a common method used for such applications. In
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. However,
Apple's DepthPro is quite impressive, producing pixel-perfect, high-resolution metric depth maps with sharp boundaries through monocular depth estimation. It outperforms all of its contenders like Metric3D v2 and DepthAnything in
Depth Anything uses monocular depth perception technique to perceive depth. In this research article, the architecture along with inference results and mathematical expressions have been explored.
In this article, we will learn the pros and cons of using Face Recognition as an authentication method. We will also see how it can be spoofed and the methods
This post provides us with an overview of different nodes that are available to us in the DepthAI API and how they work together to form a working pipeline.
This is the third blog post in the Oak series. If you haven’t checked out the previous posts on OAK, check them below. In this post, we are going to
This is an introductory post to OpenCV AI Kit with Depth. You will learn about the OAK device and the depthai pipeline for using the stereo cameras.
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
We will learn the concepts of Epipolar geometry and point correspondences. We will then use these concepts discuss how to calculate depth from stereo disparity.
