• 한국정보통신학회:학술대회논문집
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• 한국해양정보통신학회 2011년도 춘계학술대회
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• pp.307-309
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• 2011

최근 출시되는 고사양의 Hand-phone 적용되어진 Camera Module은 대부분 Auto Focusing기능이 탑재되어 있으며 Camera Module의 화소수가 높아지면서 좀 더 정밀하고 안정적인 AF구동제품이 소비자에 의해 요구되고 있다. 본 논문은 현재 출시되고 있는 Camera Module적용 VCM(Actuator)의 문제점인 Auto Focusing시 Lens 초점위치 및 Module 자세에 따른 해상도편차 발생으로 해상도 보증 및 안정된 Actuator 구동을 위해 개선된 구조의 Hybrid VCM을 제안한다.

• 대한전기학회논문지:시스템및제어부문D
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• 제50권9호
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• pp.447-453
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• 2001

In this paper, a new auto-focusing algorithm for digital cameras is proposed. One of the primary concerns of digital image processing is to increase image quality, and the most important factor for degrading the images is the blurring effect due to inexact focusing. The blurring effect occurs when the focusing lens is located on an unsuitable position. Therefore, focusing on an object should be proceeded before acquiring images. The proposed auto-focusing algorithm is MMDT(min-max difference threshold), and the performance of the proposed algorithm is evaluated by the use of the focus curve. It is shown that the proposed algorithm is superior to other previous auto-focusing algorithms in both the focus shape and computation time aspects. Especially, the improvement of the focus curve shape in both monotonousness and slope indicates that focusing can be done rapidly in comparison with other previous proposed algorithms.

• 한국정보통신학회논문지
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• 제15권6호
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• pp.1381-1385
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• 2011

최근 출시되는 고사양의 Hand-phone에 적용되어진 Camera Module은 대부분 Auto Focusing기능이 탑재되어 있으며 Camera Module의 화소 수가 높아지면서 좀 더 정밀하고 안정적인 AF구동제품이 소비자에 의해 요구되고 있다. 본 논문은 현재 출시되고 있는 Camera Module적용 VCM(Actuator)의 문제점인 Auto Focusing시 Lens 초점위치 및 Module 자세에 따른 해상도편차 발생으로 해상도 보증 및 안정된 Actuator 구동을 위해 개선된 구조의 변경구조 VCM을 제안한다.

• IEIE Transactions on Smart Processing and Computing
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• 제1권3호
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• pp.133-142
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• 2012

This paper presents a salient region detection algorithm for auto-focusing based on the characteristics of a human's visual attention. To describe the saliency at the local, regional, and global levels, this paper proposes a set of novel features including multi-scale local contrast, variance, center-surround entropy, and closeness to the center. Those features are then prioritized to produce a saliency map. The major advantage of the proposed approach is twofold; i) robustness to changes in focus and ii) low computational complexity. The experimental results showed that the proposed method outperforms the existing low-level feature-based methods in the sense of both robustness and accuracy for auto-focusing.

• 대한전기학회논문지:시스템및제어부문D
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• 제55권7호
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• pp.313-318
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• 2006

An automatic sample centering system is underway at the protein crystallography beam line of the Pohang Light Source to improve the efficiency of the crystal screening process. A sample pin which contains a protein crystal is mounted on a goniometer head. Then the crystal should be moved to the center of X-ray beam by controlling the motorized goniometer to obtain diffraction data. Since the X-ray beam is located at the center of the image obtained from the CCD camera when the image of the sample pin is in focus, an auto-focusing algorithm is a very important part in the auto-sample-centering system. However the results of applying several well-known auto focusing algorithms directly to the images are not satisfactory owing to the following factors: misalignment of CCD camera, non-uniform cryo-stream in the background of the image and the supporter of the loop. The performance of an auto-focusing algorithm can be increased if the algorithm is applied to only the loop region identified. Non-uniform cryo-stream and a various illumination condition and a stain, which is shown in the image, are main obstacles to loop region identification. In this paper, a simple loop region identification algorithm, which can solve these problems, is proposed and the effective ness of the proposed scheme is shown by applying the auto-focusing algorithm to the loop region identified.

• 디지털산업정보학회논문지
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• 제8권4호
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• pp.159-165
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• 2012

The accurate focusing position should be determined for accurate measurements In VMS. Camera lens focusing is an important problem in computer vision and video measuring systems (VMS) that use CCD cameras and high precision XYZ stages. Camera focusing is a very important step in high precision measurement systems that use computer vision technique. The auto focusing process consists of two steps, the focus value measurement step and the exact focusing position determination step. It is suitable for eliminating high frequency noises with lower processing time and without blurring. An automatic focusing technique is applied to measure a crater with a one-dimensional search algorithm for finding the best focus. Throughout this paper, the suggested algorithm for the Auto focusing was combined with the learning. As a result, it is expected that such a combination would be expanded into the system of recognizing voices in a noisy environment.

• 제어로봇시스템학회논문지
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• 제12권2호
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• pp.168-173
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• 2006

This paper proposes an auto-focusing method for production of compact camera module (CCM). The CCM test handlers are mainly used in the final CCM production stage to test and adjust the lens focus of CCMs. To improve the productivity of CCM test handlers, we propose the auto-focusing method adjusting the lens focus efficiently. The max-min-difference (MMD) method is newly developed to compute the focus value efficiently, and two-stage searching method is also developed to find the best focus position quickly. Experimental results are presented to verify the usefulness of proposed method.

• 한국정보통신학회:학술대회논문집
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• 한국해양정보통신학회 2011년도 춘계학술대회
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• pp.320-323
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• 2011

Smart phone에 실장되는 소형 카메라 모듈의 경우, 기존 Handset과 대비하여 Non AF 상태에서의 해상도 수준의 향상에 대한 소비자의 요구가 커지고 있으며, 높은 정밀도와 동일한 반복성 및 빠른 Auto focusing speed를 요구 받고 있다. 이에 따라 기존의 Actuator mechanical position에 기반한 algorithm에서 문제가 되었던 preview(non-AF)의 안정적 해상도 보증 문제 및 속도 개선 한계 문제를 본 논문에서 개선된 algorithm으로 제안하게 되었다.

• 정보저장시스템학회논문집
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• 제5권1호
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• pp.1-7
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• 2009

Recently, the growing market demand for small and slim mobile phone cameras requires the size reduction of the camera module. In this paper, an auto-focusing actuator for camera phones is proposed by converting the rotational motion by a rotary VCM actuator into the linear motion using a novel cam structure. This new concept for auto-focusing module enables the reduction of the module thickness and low power consumption. This paper presents the theoretical analysis and optimal design for VCM actuator, cam structure and preload spring. Finally, the experimental results using a prototype with the size of $9.9{\times}9.9{\times}5.9\;mm^3$ are compared with the theoretical predictions.

• 전기학회논문지
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• 제66권4호
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• pp.709-714
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• 2017

The curved panel is widely used for display of TVs and smart phones. This paper proposes a new auto-focusing method for curved panel inspection system. Since the distance between the camera and the panel varies with the curve position, the camera should change its focus at every inspection time. In order to reduce the focusing time, we propose an effective focusing method that considers the mathematical model of panel curve. The Lagrange polynomial equation is applied to modeling the panel curve. The foci of initial three points are used to get the curve equation, and the other foci are calculated automatically from the curve equation. The experiment result shows that the proposed method can reduce the focusing time.