Making the Tool and Construct DB for Face Image of High Resolution

Byung-Tae Chun (전병태)

Making the Tool and Construct DB for Face Image of High Resolution

Journal of Knowledge Information Technology and Systems
Abbr : JKITS
2015, 10(4), pp.429-434
Publisher : Korea Knowledge Information Technology Society
Research Area : Interdisciplinary Studies > Interdisciplinary Research
Published : August 31, 2015

Byung-Tae Chun ¹

¹한경대학교

Accredited

ABSTRACT

Recently studies for commercializing robot have been actively conducted while robots are being used in various area such as military, medical and education. Since the end of 1970s when welding robot was imported from abroad, robots have been applied to industry sites along with technology development centered on robots in manufacturing industry as major industries like automobile, electronics and semiconductor have grown up. Before selling robot products in the market, appraisal and verification of its performance should be completed. Studies on way of evaluating face recognition performance by intelligent robots have been conducted a lot. High resolution image LED monitor printing is appraised to be the best evaluation model. In order to use face recognition performance evaluation method, images DB of high resolution are necessary. It’s because face images similar to real face can be obtained only when face image of high resolution is printed out in high resolution LED monitor. Most of existing face images constructed in DB is low definition face images and we can say we can’t use this DB because there is much difference from real face when it is printed out in the monitor. This thesis will describe how to produce tool and DB for high resolution face images. The result of experiment shows high resolution image DB can be created.

KEYWORDS

Face image DB, Robots, Robot performance evaluation, LED monitors, High resolution images

Citation status

* References for papers published after 2023 are currently being built.

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Journal Central

Journal of Knowledge Information Technology and Systems 2023 KCI Impact Factor : 0.89