• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2011.05a
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• pp.320-323
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• 2011

The compact camera assembled into Smart phone is required to have higher resolution level in non AF state than existing handsets, and it is also requested to have higher degree of accuracy, more consistent repetitiveness, and faster auto focusing speed. Algorithm based on a mechanical position of the existing actuator has been discussed. Therefore, in this thesis I suggest an improved algorithm concerning the problem of unstable resolution level in non AF state and auto focusing speed.

• Proceedings of the IEEK Conference
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• 2001.06d
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• pp.17-20
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• 2001

This paper has been studied a vedio camera system with AF (auto-focus), AE (auto exposure), AWB(auto-whitebalance). And then this paper has designed an advanced method to improve AF, AE and AWB video camera system

• Journal of the Korea Institute of Information and Communication Engineering
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• v.15 no.6
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• pp.1381-1385
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• 2011

Hand-phone in the recently released high-end applied to the Camera Module is equipped with the most features Auto Focusing Camera Module and much greater importance of the pixel count is much more precise and reliable AF-powered products are being demanded by consumers. This paper is available now apply the Camera Module VCM (Actuator) for Auto Focusing Lens focal point of the problem location and resolution of positional deviation occurs Module Warranty and stable resolution of the improved structure for Actuator Drive Change the structure VCM is proposed

• Journal of the Korea Institute of Information and Communication Engineering
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• v.13 no.12
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• pp.2547-2554
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• 2009

In this paper, we proposed a face detection algorithm and a hardware implementation method for ROI(Region Of Interest) of AF(Auto Focusing). We used face features in skin regions of YCbCr color space for face detection. The face features are the number of skin pixels in face regions, edge pixels in eye regions, and shadow pixels in lip regions. The each feature was statistically selected by 2,000 sample pictures of face. The proposed algorithm detects two faces that are closer center of the image for considering the effectiveness of hardware resource. The detected faces are displayed by rectangle for ROI of AF, and the rectangles are represented by positions in the image about starting point and ending point of the rectangles. The proposed face detection method was verified by using FPGA boards and mobile phone camera sensor.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2011.05a
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• pp.307-309
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• 2011

The recently-released camera modules assembled into high-end handsets generally carry auto focusing function. The resolution size of the camera modules is getting higher, and customers demand more precise and stable auto focusing function. When auto focusing function is getting performed, the camera modules applied to VCM usually have the problems, which are an error of lens focusing position and resolution deviation according to the shift of one's position. For this reason, I propose Hybrid VCM that has an improved structure for a stable work of actuator and higher resolution level.

• Proceedings of the KIEE Conference
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• 2006.10d
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• pp.107-109
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• 2006

This paper presents the design and fabrication results of a voice coil type actuator for auto focusing(AF) functional module of mobile phone cameras. Axisymmetric FEM and 3-dimensional FEM is used to analyze and design the actuator, and the performance is verified by fabrication and evaluation of it. The size of the fabricated 2M pixel AF module is $10.5{\times}10.5{\times}7.9mm$, and the operating performance was satisfactory.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.14 no.1
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• pp.89-96
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• 2010

In this paper, we proposed a method about improving face tracking efficiency of face detection for AF system using the faces to the ROI. The conventional face detection system detecting faces based skin color uses the ratio of skin pixels of the present frame to detected face regions of the past frame to track the faces. The tracking method is superior in the stability of the regions but it is inferior in the face tracking efficiency. We proposed a face tracking method using the area of the overlapping region in the detected face regions of the past frame and the present frame to improve the tracking efficiency. The proposed face tracking efficiency demonstration was performed by making a film of face detection with face tracking in real-time and using the moving traces of the detected faces.

• Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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• 2005.07a
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• pp.330-331
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• 2005

본 논문에서는 카메라폰용 광학중(Optical zooming) 과 자동초점조절장치 (Auto Focusing, AF)에 쓰일 초음파모터를 제작하였다. 초음파모터의제작 및 시뮬레이션은 유한요소해석 프로그램인 ATILA 5.2.1 (Magsoft co.)를 사용하여 디자인설계에 따른 구동특성을 고찰하였고 제작된 초음파모터는 한쪽 면이 없는 사작형의 탄성체를 제작하였으며 탄성체의 양쪽 다리에 각각 압전체를 부착하였다. 또한 압전세라믹의 조성은 $0.9Pb(Zr_{0.51}Ti_{0.49})O_3-0.1Pb(Mn_{1/3}Nb_{1/3}Sb_{1/3})O_3$의 조성으로 설계하였고 시편의 제조는 7-layer로 적층하였다. 제작된 압전세라믹의 치수는 6*2*0.35$mm^3$(길이*폭*두께)로 제작하였다 또한 탄성체의 외형치수는 10*10*2$mm^3$로 제작하였으며 두께를 각각 0.3[mm], 0.5[mm], 0.8[mm]으로 변화시키며 제작하였다. 두께가 0.8[mm]인경우 공진주파수는 60.5[kHz]를 나타내었으며 초음파모터의 압전세라믹에 인가전압이 증가함에 따라 회전속도와 모터에 흐르는 전류는 증가하였다. 인가전압이 40[Vpp] 일 때 회전속도는 206[rpm] 이며 소비전력은 0.3[W]로 제작된 시편은 카메라폰용 광학중 및 자동초점조절장치시스템 분야에 응용이 가능하다.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2008.11a
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• pp.753-754
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• 2008

• Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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• 2005.11a
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• pp.189-190
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• 2005

본 논문에서는 카메라폰용 광학줌(Optical zooming)과 자동초점조절장치(Auto Focusing,AF)에 쓰일 초음파모터를 제작하였다. 초음파모터의 제작 및 시뮬레이션은 유한요소해석 프로그램인 ATILA 5.2 1(Magsoft co.)를 사용하여 디자인설계에 따른 구동특성을 고찰하였고 제작된 초음파모터는 한쪽 면이 없는 사작형의 탄성체를 제작하였으며 탄성체의 양쪽 다리에 각각 압전체를 부착하였다 또한 압전세라익의 조성은 0.9Pb$(Zr_{0.51}Ti_{0.49})O_3$ - 0.1Pb$(Mn_{1/3}Nb_{1/3}Sb_{1/3})O_3$ 의 조성으로 설계하였고 시편의 제조는 7-layer로 적층하였다. 제작된 압전세라믹의 치수는 6*2*0.35mm$^3$(길이*폭*두께)로 제작하였다. 또한 탄성체의 외형치수는 8*4*2mm$^3$로 제작하였으며 회전축의 지름은 2mm로 제작하였다. 인가전압과 공진주파수가 각각 20Vpp, 64kHz일 때 소비전력은 0.3[W]이며 회전속도는 500rpm 으로 측정되었다.