1 / 22

2010 電資院 「頂尖企業暑期實習」 經驗分享心得報告

2010 電資院 「頂尖企業暑期實習」 經驗分享心得報告. 實習學生：電資院學士班魏衍昕. Preface. (i)Time ： 07/01/2010 to 08/31/2010 Total 62 days (ii)Location ： ITRI (iii)Teacher ： 林炳立 director (iiii)Motivation ： challenge myself. Overview. Introduction Recaps Embedded systems Digital image processing Application project

ethan-bentley
Download Presentation

2010 電資院 「頂尖企業暑期實習」 經驗分享心得報告

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. 2010電資院「頂尖企業暑期實習」經驗分享心得報告2010電資院「頂尖企業暑期實習」經驗分享心得報告 實習學生：電資院學士班魏衍昕

  2. Preface • (i)Time：07/01/2010 to 08/31/2010 • Total 62 days • (ii)Location：ITRI • (iii)Teacher：林炳立director • (iiii)Motivation：challenge myself

  3. Overview • Introduction • Recaps • Embedded systems • Digital image processing • Application project • Reflections • On working experience • On industrial technology • Future Consideration • Conclusions • Appendix

  4. Introduction • ITRI Information & Communications Research Laboratories

  5. Recaps

  6. Embedded Systems • Digital Video Camera • Basic computer architecture • Linux OS • Finite resource

  7. Digital Image Processing • Examples • Restoration of image • Photo enhancement • Noise reduction • Special effects • Halftoning • Face detection

  8. Application Project • Face detection • Color analysis • Template matching • Neural networks

  9. My Algorithm • My approach • Rule-based face detection Input images from video camera Edge detection Search the dark points of one of the areas Skin color detection Check special rule of human face Roughly skin color area shape analysis Output images to PC with detected faces surrounded by bold white lines if there are faces If not, just output the input image Possible face areas determined

  10. Edge detected &Skin detected

  11. Face detected

  12. Far face &Two faces detected

  13. Cont’ • Distance dependent Far Near

  14. Cont’ • Overlapped multiple faces

  15. Reflections

  16. On working experience • Ideal assumptions of theories • Implementing makes experience Theory Practical cases Should be modified Ideal case

  17. Cont’ • Feed back refining • Approach is not unique Other methods

  18. On Industrial Technology • Computer Science • Human abilities imitation • Why not make it think as human beings

  19. Future Consideration

  20. Conclusions • Do it yourself. • Ability to collect relevant documents to solve problem is important. • Innovation is emphasized more than ever.

  21. Appendix( Pictures & Suggestions)

  22. Thank You For Your Attention

More Related