The amount of waste generated in the world amounted to billions (metric tons) in quantity at the end of 2020. With the growing pressure of the human population, it is set to escalate further. In the developed nation, waste management is a profit-making market vertical. Innovative methodologies and techniques are helping make waste management seem an…Continue
As its name suggests, searching for videos by image is the process of retrieving from the repository videos containing similar frames to the input image. One of the key steps is to turn…Continue
Added by Kate Shao on September 11, 2020 at 10:30pm — No Comments
Yupoo Picture Manager serves tens of millions of users and manages tens of billions of pictures. As its user gallery is growing larger, Yupoo has an urgent business need for a solution that can quickly locate the image. In other words, when a user inputs an image, the system should find its original…
Added by Kate Shao on August 12, 2020 at 11:00pm — No Comments
Summary: Autonomous vehicles (AUVs) and many other systems that need to accurately perceive the world around them will be much better off when image classification moves from 2D to 3D. Here we examine the two leading approaches to 3D classification, Point Clouds and Voxel Grids.
Added by William Vorhies on September 23, 2019 at 2:24pm — No Comments
Summary: This may be the golden age of deep learning but a lot can be learned by looking at where deep neural nets aren’t working yet. This can be a guide to calming the hype. It can also be a roadmap to future opportunities once these barriers are behind us.
In recent years, the field of object detection has seen tremendous progress, aided by the advent of deep learning. Object detection is the task of identifying objects in an image and drawing bounding boxes around them, i.e. localizing them. It’s a very important problem in computer vision due its numerous applications from self-driving cars to security and tracking.
Prior approaches of object detection…Continue
Added by Luba Belokon on October 19, 2017 at 8:30am — No Comments
Last year I started developing a Face Recognition model. I started with static pictures and using Wolfram Mathematica. This year I found out we can do the same job using OpenCV in Python, or creating specific filters in R and applying Weierstrass and Gaussian transformation.
There are lots of difficulties in recognizing faces of the same person, like: position, rotation of face, age, feeling, brightness, gamma, contrast, gamma, saturation, obstacles like hands,hair and so…Continue
Added by Rubens Zimbres on October 15, 2016 at 4:00am — No Comments