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GB/T 41864-2022 English PDF

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GB/T 41864-2022: Information technology - Computer vision - Terminology
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Standard similar to GB/T 41864-2022

GB/T 38665.1   GB/T 38665.2   GB/T 9813.3   GB/T 45434.3   GB/T 45434.2   

Basic data

Standard ID GB/T 41864-2022 (GB/T41864-2022)
Description (Translated English) Information technology - Computer vision - Terminology
Sector / Industry National Standard (Recommended)
Classification of Chinese Standard L60
Classification of International Standard 35.240.01
Word Count Estimation 50,578
Date of Issue 2022-10-12
Date of Implementation 2022-10-12
Issuing agency(ies) State Administration for Market Regulation, China National Standardization Administration

GB/T 41864-2022: Information technology - Computer vision - Terminology

---This is a DRAFT version for illustration, not a final translation. Full copy of true-PDF in English version (including equations, symbols, images, flow-chart, tables, and figures etc.) will be manually/carefully translated upon your order.
Information technology - Computer vision - Terminology ICS 35.240.01 CCSL60 National Standards of People's Republic of China Information Technology Computer Vision Terminology Released on 2022-10-12 2022-10-12 Implementation State Administration for Market Regulation Released by the National Standardization Management Committee

table of contents

Preface III 1 Scope 1 2 Normative references 1 3 Terms and Definitions 1 3.1 Image Representation Class 1 3.2 Image acquisition class 2 3.3 Image processing class 4 3.4 Image Segmentation Class 10 3.5 Image Understanding Class 11 3.6 Video Understanding Class 16 3.7 3D Computer Vision 21 3.8 Computational Photography 23 3.9 Performance Evaluation Class 24 3.10 Application related classes 26 Reference 28 index 29

foreword

This document is in accordance with the provisions of GB/T 1.1-2020 "Guidelines for Standardization Work Part 1.Structure and Drafting Rules for Standardization Documents" drafting. Please note that some contents of this document may refer to patents. The issuing agency of this document assumes no responsibility for identifying patents. This document is proposed and managed by the National Information Technology Standardization Technical Committee (SAC/TC28). This document is drafted by. China Electronics Standardization Institute, Institute of Computing Technology, Chinese Academy of Sciences, Beijing University of Technology, Chinese Academy of Sciences College Automation Research Institute, Beijing iQiyi Technology Co., Ltd., China Industrial Internet Research Institute, ShanghaiTech University, Beijing Geling Shentongxin Information Technology Co., Ltd., Tsinghua University, Nankai University, Beijing Institute of Technology, Nanjing University of Posts and Telecommunications, Fuzhou University, Beijing University of Science and Technology, Beijing Post Electric University, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, North China Electric Power University, Beijing Jiaotong University, Beijing Institute of Electronic Science and Technology, Chinese Academy of Sciences University of Technology, University of Electronic Science and Technology of China, Shenzhen Shangtang Technology Co., Ltd., Xiangtan University, Northwestern Polytechnical University, Xidian University, Hall Bin Engineering University, Institute of Information Engineering, Chinese Academy of Sciences, China University of Petroleum (East China), Zhengzhou University, Beijing Baidu Netcom Technology Co., Ltd. Division, Huazhong University of Science and Technology, Beijing Information Technology University, Communication University of China, Henan Institute of Science and Technology, Nanjing University, Lanzhou University of Technology, China Science and Technology College University, Nanjing Institute of Software Technology, Chinese Academy of Sciences, Institute of Software, Chinese Academy of Sciences, Wuhan University of Technology, Biomedical Sciences, Chinese Academy of Medical Sciences Engineering Research Institute, Shandong Provincial Computing Center (National Supercomputing Jinan Center), Shanghai Yitu Network Technology Co., Ltd., Hangzhou Hikvision Digital Word Technology Co., Ltd., Xiaomi Communication Technology Co., Ltd., Beijing Telecom Planning and Design Institute Co., Ltd., Shenzhen Yuntian Lifei Technology Co., Ltd. Co., Ltd., Harbin Institute of Technology Robotics (Hefei) International Innovation Institute, 4Paradigm (Beijing) Technology Co., Ltd., Huawei Technologies Co., Ltd., Momentum Array Element Technology (Shenzhen) Co., Ltd., Beijing Sankuai Online Technology Co., Ltd. (Meituan), Beijing Baicaibang Technology Co., Ltd., Huaxia Chip (Northern Beijing) General Processor Technology Co., Ltd., Yuncong Technology Group Co., Ltd., Chongqing University of Posts and Telecommunications, Beijing Eye Technology Co., Ltd., Jiang Laboratory, Suzhou Zhongde Hongtai Electronic Technology Co., Ltd., Shuguang Information Industry Co., Ltd., Beijing Bytedance Network Technology Co., Ltd., Zhengzhou Jinhui Computer System Engineering Co., Ltd. The main drafters of this document. Chen Xilin, Wu Lifang, Ma Shanshan, Wang Liang, Wang Tao, Wang Cong, Ma Wei, Jian Meng, Lu Hanqing, Deng Yafeng, Liu Junhui, Li Shiying, Huang Yan, Zhang Xiaolei, Suo Jinli, Liu Yebin, Yang Jufeng, Cheng Mingming, Chai Senchun, Zhou Quan, Zhao Tiesong, Niu Yuzhen, Yin Xucheng, Ma Zhanyu, Qiao Yu, Zhao Zhenbing, Zhai Yongjie, Wei Shikui, Jin Xin, Wang Shangfei, Ji Yanli, Xie Yufeng, Ouyang Jianquan, Qian Chen, Jiang Hui, Liu Xiangzeng, Han Junwei, Liu Haibo, Miao Qiguang, Ge Shiming, Shen Jing, Liu Weifeng, Xu Mingliang, Wu Yuesheng, Liu Wenyu, Feng Bin, Huang Xiaoming, Cao Gang, Wang Haitang, Ma Yukun, Ren Tongwei, Yang Lifang, Li Ce, Ma Bingpeng, Li Hui, Wang Shaofan, Zhang Wenli, Li Ruwei, Wang Zhuozheng, Duan Lijuan, Jia Xibin, Qi Na, Yang Xinwu, Wang Jin, Zhu Qing, Fu Lihua, Liu Zhaoying, Yu Jingyi, He Huiguang, Xie Lingxi, Wen Shilei, Qiao Liwen, Deng Cheng, Wang Ruiping, Huang Xianglin, Xiao Changshi, Gao Yongchao, Zhang Ting, Xue Yunzhi, Meng Lingzhong, Zhang Yuan, Xu Yuan, Pu Jiangbo, Zhao Chunhao, Ren Wenqi, Pu Shiliang, Zhao Qun, Xu Shengpu, Wang Jue, Han Xiao, Zhu Yajun, Wu Tao, Zou Bo, Fu Jianlong, Pu Yakun, Zi Xinbin, Wang Yihe, Feng Xiaoxue, Cao Xiaoqi, Zhang Yiyi, Na Chongning, Wei Xiaoming, Li Jun, Ma Bin, Tian Yonghui, Liu Jun, Ding Yu, Luo Jiasai, Song Fangfang, Shan Haijun, Ning Hao, Ouyang Masheng, Zhu Guibo, Wang Jinqiao, Liu Yiheng, Zhang Lei, Yang Chunlin, Zhang Dongdong, Wang Changhu. Information Technology Computer Vision Terminology

1 Scope

This document defines terms and definitions commonly used in the field of computer vision. This document is suitable for the understanding and communication of computer vision concepts.

2 Normative references

This document has no normative references.

3 Terms and Definitions

3.1 Image representation class 3.1.1 color image colorimage An image that uses multi-channel components to represent spectral information in the visible light band. 3.1.2 Multispectral image multi-spectralimage An image that uses multichannel components to represent spectral information at corresponding wavelengths. Note. If the wavelengths corresponding to the spectral information expressed by the multispectral image are all in the visible light band, it is a color image. 3.1.3 multi-view multipleview A set of images of the same scene taken from different orientations. 3.1.4 binary image binaryimage An image represented by single-channel binary components. 3.1.5 An image with a greater dynamic range of exposure (i.e., a greater difference between light and dark). 3.1.6 grayscale grayscale An image brightness representation method, which only represents the brightness information of each pixel in the image. Note. The grayscale is usually from the darkest (black, grayscale is 0) to the brightest (white, grayscale is the maximum value), and the grayscale is usually divided into 256 levels, of which 0 represents the highest Dark level, 255 represents the brightest level. 3.1.7 Grayscale image grayscaleimage An image represented by single-channel components.

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