본문 바로가기
  • Home

Image Recognition Using Colored-hear Transformation Based On Human Synesthesia

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2008, 13(2), pp.135-142
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science

Seong-Yoon Shin ORD ID 1 문형윤 2 Pyo,Sung-Bae 3

1군산대학교
2LG CNS
3인덕대학

Accredited

ABSTRACT

In this paper, we propose colored-hear recognition that distinguishing feature of synesthesia for human sensing by shared vision and specific sense of hearing. We perceived what potential influence of human's structured object recognition by visual analysis through the camera, So we've studied how to make blind persons can feel similar vision of real object. First of all, object boundaries are detected in the image data representing a specific scene. Then, four specific features such as object location in the image focus, feeling of average color, distance information of each object, and object area are extracted from picture, Finally, mapping these features to the audition factors. The audition factors are used to recognize vision for blind persons. Proposed colored-hear transformation for recognition can get fast and detail perception, and can be transmit information for sense at the same time. Thus, we were get a good result when applied this concepts to blind person's case of image recognition.

Citation status

* References for papers published after 2022 are currently being built.