computer graphics, image processing and computer vision

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Computer Graphics, Image processing and computer VisionDivision of Computer Information Engineering

Lee Byung Gook, Dongseo Univ., Busan, Korealbg@dongseo.ac.kr

2009.12.29 NIMS Thematic Workshop@Ewha W. Univ.

Image Sensor and Its Applications

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Image Sensor

• CCD(Charge Coupled Device) Sensor• 1960 년대 후반 Bell Lab. Williards S. Boyle 과 George E.

Smith 가 새로운 형태의 컴퓨터 기억 회로를 설계• 1970 년에 처음 선보인 이 작은 반도체 실리콘은 가시광에 반응하기

때문에 천문 분야에서 최초의 영상 기기• 1975 년 제트 추진 연구소 (JPL), 애리조나 대학 , 천왕성

lbg@dongseo.ac.kr

http://astro.kias.re.kr/~hshwang/ccd.htm

23年 4月 22日 2

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Image Sensor

• CCD & CMOS(Complementary Metal-Oxide Semiconductor)• CCD 감도 , 화질 좋다 . 소비전력 많고 전송도중 잡신호의 영향• CMOS 각 화소에 신호증폭회로설치 , 전송속도가 빠르다

소비전력과 발열이 적다 . 라이브뷰 기능에 적합• Demosaicking

lbg@dongseo.ac.kr

The Bayer arrangement of color filters on the pixel array of an image sensor. Each two-by-two cell contains two green, one blue, and one red filter

23年 4月 22日 3

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Image Sensor

• CCD, CMOS & Foveon Sensor

lbg@dongseo.ac.kr23年 4月 22日 4

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Spectrum

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Samsung unveils flat-panel X-ray detectorImaging sensor converts invisible X-ray images into digital signals 23 Nov 2007The flat-panel X-ray measures 45cm x 46cm and boasts a 3,072 x 3,072 (9.4-megapixel) resolution providing ultra-high definition images.To create its flat-panel X-ray, Samsung attached photodiodes to a TFT substrate produced using its proprietary amorphous silicon technology.The device will be available worldwide from the first quarter of 2008.

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Hand Tracking

lbg@dongseo.ac.kr23年 4月 22日 7

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Skin Color Detection

23年 4月 22日 lbg@dongseo.ac.kr 8

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Background subtraction Skin Color Detection Blob Analysis Opening & Closing

Contour Tracing k Curvature Peak Points Peak & Valley Points

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Shadow Garden

lbg@dongseo.ac.kr23年 4月 22日 11

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Interactive Art

lbg@dongseo.ac.kr23年 4月 22日 12

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u-Pointer

23年 4月 22日 13lbg@dongseo.ac.kr

120 154 175

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2 22 2( ) ( ) cos ( ) ( )sinu x d x d d y dx c x c f r y c f r

2 22 2( ) ( )sin ( ) ( ) cosu y d x d d y dy c x c f r y c f r

2 2 2( ) ( )d d x d yr x c y c

center of radial distortion

2 32 1 2 3( ) 1f r k r k r k r

0 1 2

6 7 1u u

pu u

m x m y mx

m x m y

3 4 5

6 7 1u u

pu u

m x m y my

m x m y

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uT pT

( , )d d dI x yDistorted Image ( , )u u uI x yUndistorted Image Projected Image ( , )p p pI x y

( , )x yC c c

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Original Image Gray Image Corner Detection Image

Pattern Image Undistorted Image Projected Image