Examples of using Computer vision in English and their translations into Japanese
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For more information, see Computer Vision System Toolbox, which supports common techniques such as the Horn-Schunk method and Lucas-Kanade algorithm.
Computer vision could minimize damage from forest fires in the Far Eastern Federal District".
Ashlesh completed his PhD from Courant Institute of Mathematical Sciences at NYU specializing in physical unclonable functions, security and computer vision.
Pythoncomputervision Computer Vision with Python 14 hours Computer Vision is a field that involves automatically extracting, analyzing, and understanding useful information from digital media.
Develops real-time face tracking algorithm by applying the deep learning, computer vision technology from SenseTime Japan Ltd.
An international team with extensive R&D experience at computer vision, as well as managing a high-tech international business.
I used to teach the class at Stanford, and I hope to be able to invite you in the near future to an actual online 3D computer vision class.
In the field of computer vision, there is a technology called Structure from Motion(SfM).
Largely drawing from decades of research and innovation in the computer vision world.
Computer vision, also called visual AI, is the use of digital processing and intelligent algorithms to interpret meaning from images or video.
To help with the distinction, consider AI as tackling problems that are easy for humans and difficult for machines, like computer vision.
The A.I. Revolution In the past, Computer Vision was a very fragile and complicated task requiring a specific tailored algorithm to analyze pixels.
Horus Technology's wearable device uses computer vision and machine learning to aid the visually impaired.
They use 4 ultra wide-angle sensors and computer vision algorithms to track your exact position in real time without any external sensors.
Using a series of sensors and computer vision, Liu's lab has made systems that can automatically climb stairs.
Deep learning models have been very effective in complex tasks, such as sentiment analysis and computer vision.
Cnns are ideally suited for computer vision, but feeding them enough data can make them useful in videos, speech, music and text as well.
A Google Brain team showed off its use of computer vision to detect heart disease earlier this week.
OpenVX* uses the concept of graphs- the flow of tasks in a computer vision pipeline- to optimize the application.
Intelligent Flying Machines(IFM) is a data analytics company using computer vision and robotics to automate data capture.