.png){kind=icon}
.png){kind=icon}
Return
GPU-Accelerated Vision for Robots: Improving System Throughput Using OpenCV and CUDA
.png){kind=icon}
OA
AI
DOI：10.1109/MRA.2020.2977601.png)
.png){kind=icon}
.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
OpenCV is an open source computer vision and machine learning library for C/C++/Python available for Windows, Linux, macOS, and Android platforms. It contains low-level image processing functions as well as high-level algorithms such as object identification, face recognition, and action classification in videos. OpenCV has become very popular, with more than 47,000 people in its user community and 18 million downloads (see https://opencv.org/about/). Under a Berkeley Software Distribution (BSD) license, it can be used for both academic and commercial applications.
Keywords:
Graphics processing units
Image edge detection
Robots
Videos
Feature extraction
Detectors
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
I
IF:
7.1
Papers:
1.6K
Citations:
5.1K