Serial Number: http://www.riss.kr/link?id=A106370714

Title:  A Study On Parameter Measurement for Artificial Intelligence Object Recognition

Author: Choi, Byeong Gwan

Journal: Journal of the Korea Society of Digital Industry and Information Management

Vol: 15/3

Pages: 15-28

Published by: The Korea Society of Digital Industry and Information Management

Date: 2019.

Register Information: KCI

etc.: -
-----------------------------------------------------------------------

<Abstract>

Artificial intelligence is evolving rapidly in the ICT field, smart convergence media system and content industry through the fourth industrial revolution, and it is evolving very rapidly through Big Data. In this paper, we propose a face recognition method based on object recognition based on object recognition through artificial intelligence. In this method, Were experimented and studied through the object recognition technique of artificial intelligence. In the conventional 3D image field, general research on object recognition has been carried out variously, and researches have been conducted on the side effects of visual fatigue and dizziness through 3D image. However, in this study, we tried to solve the problem caused by the quantitative difference between object recognition and object recognition for human factor algorithm that measure visual fatigue through cognitive function, morphological analysis and object recognition. Especially, The new method of computer interaction is presented and the results are shown through experiments.