• 제목/요약/키워드: Mobile camera

검색결과 955건 처리시간 0.031초

휴대폰 단말기에 관한 消費者 滿足度 및 使用에 관한 理論的 考察 (A Study on Mobile Telecommunication Business and Satisfactio of Mobile-phone Users)

  • 전규림
    • 정보학연구
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    • 제8권1호
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    • pp.11-25
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    • 2005
  • The purposes of this study were to explain consumer attitude, expenses and satisfaction of mobile-phone Users. The data of this study used from Pollever.com. This study was satisfaction of mobile-phone users in Korea. The users were consumers of Samsung, LG, SK-Telecom and Pantack. The critical success factor was on the subside for mobile-phone in the growth of mobile service, which we can analyze in its positive effects. Fifty percent of consumers were unsatisfaction with local companies without Samsung. Now most of local mobile-companies will developed music-phone, high-tec camera-phone, hi-slim phone, and health-phone. But, the results of this study are as fallow: Most of consumer' main issues were design, weight, and brand power. It was in that it played the driving force to upgrade the local mobile-phone services into international level with the explosive growth in business by providing cheap phones.

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Skin Condition Estimation Using Mobile Handheld Camera

  • Bae, Ji-Sang;Jeon, Jae-Ho;Lee, Jae-Young;Kim, Jong-Ok
    • ETRI Journal
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    • 제38권4호
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    • pp.776-786
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    • 2016
  • The fairly recent standard of equipping mobile devices with advanced imaging sensors has opened the possibility of conveniently diagnosing skin conditions, anywhere, anytime. For this application, we attempted to estimate skin conditions from a skin image taken by a mobile handheld camera. To estimate the skin conditions, we specifically identified three skin features (pigmentation, pores, and roughness) that can be measured quantitatively from a skin image. The experimental data indicate that the existing thresholding methods are inappropriate for extracting the pigmentation and pore skin features. Thus, we propose a new line-fitting based thresholding method for skin feature detection. We thoroughly evaluated our proposed skin condition estimation method using our skin image database. The experimental results show that our proposed thresholding method can better determine the threshold leading to the most visually plausible detection, when compared to existing methods. We also confirmed that skin conditions can be feasibly estimated using a common mobile handheld camera (for example, a smartphone).

Implementation of Tracking and Capturing a Moving Object using a Mobile Robot

  • Kim Sang-joo;Park Jin-woo;Lee Jang-Myung
    • International Journal of Control, Automation, and Systems
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    • 제3권3호
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    • pp.444-452
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    • 2005
  • A new scheme for a mobile robot to track and capture a moving object using camera images is proposed. The moving object is assumed to be a point-object and is projected onto an image plane to form a geometrical constraint equation that provides the position data of the object based on the kinematics of the active camera. Uncertainties in position estimation caused by the point-object assumption are compensated for using the Kalman filter. To generate the shortest time path to capture the moving object, the linear and angular velocities are estimated and utilized. In this paper, the experimental results of the tracking and capturing of a target object with the mobile robot are presented.

모바일 로봇을 위한 Ekf이미지 안정화 시스템 개발 (The Development Of An Image Stabilization System Using An Extended Kalman Filter Used In A Mobile Robot)

  • 최윤원;;강태훈;이석규
    • 로봇학회논문지
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    • 제5권4호
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    • pp.367-376
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    • 2010
  • This Paper Proposes A Robust Image Stabilization System For A Mobile Robot Using An Extended Kalman Filter (Ekf). Though Image Information Is One Of The Most Efficient Data Used For Robot Navigation, It Is Subjected To Noise Which Is The Result Of Internal Vibration As Well As External Factors Such As Uneven Terrain, Stairs, Or Marshy Surfaces. The Camera Vibration Deteriorates The Image Resolution By Destroying The Image Sharpness, Which Seriously Prevents Mobile Robots From Recognizing Their Environment For Navigation. In This Paper, An Inclinometer Was Used To Measure The Vibration Angle Of The Camera System Mounted On The Robot To Obtain A Reliable Image By Compensating For The Angle Of The Camera Vibration. In Addition The Angle Prediction Obtained By Using The Ekf Enhances The Image Response Analysis For Real Time Performance. The Experimental Results Show The Effectiveness Of The Proposed System Used To Compensate For The Blurring Of The Images.

캠시프트와 KLT특징 추적 알고리즘을 융합한 모바일 로봇의 영상기반 사람추적 및 추종 (A vision based people tracking and following for mobile robots using CAMSHIFT and KLT feature tracker)

  • 이상진;원문철
    • 한국멀티미디어학회논문지
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    • 제17권7호
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    • pp.787-796
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    • 2014
  • Many mobile robot navigation methods utilize laser scanners, ultrasonic sensors, vision camera, and so on for detecting obstacles and path following. However, human utilizes only vision(e.g. eye) information for navigation. In this paper, we study a mobile robot control method based on only the camera vision. The Gaussian Mixture Model and a shadow removal technology are used to divide the foreground and the background from the camera image. The mobile robot uses a combined CAMSHIFT and KLT feature tracker algorithms based on the information of the foreground to follow a person. The algorithm is verified by experiments where a person is tracked and followed by a robot in a hallway.

소실점과 신경회로망을 이용한 이동 로봇의 위치 결정 (Determining the Position of a Mobile Robot Using a Vanishing Point Neural Networks)

  • 이효진;이기성
    • 한국지능시스템학회:학술대회논문집
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    • 한국퍼지및지능시스템학회 1997년도 춘계학술대회 학술발표 논문집
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    • pp.165-170
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    • 1997
  • During the navigation of mobile robot, one of the essential task if to determine the absolute position of mobile robot. In this paper, a method to determine the position of the camera using a vanishing point and neural networks without landmark if proposed. In determining the position of the camera on the world coordinate, there are differences between the real value and the calculated value because of uncertainty in pixels, incorrect camera calibration and lens distortion etc. This paper describes the solution of the above problem using BPNN(Back Propagation Neural Network) and experimental results show the capability to adapt for a mobile robot.

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Development of Compact Auto Focus Actuator for Camera Phone by Applying New Electromagnetic Configuration

  • Chung, Myung-Jin;Son, Sung-Yong
    • Journal of Mechanical Science and Technology
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    • 제20권12호
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    • pp.2087-2093
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    • 2006
  • In this paper, auto focus actuator, which is used to move a lens module in the mobile phone having a camera module, is developed. Camera module containing auto focus actuator requires to minimize total size because of characteristics of the application area such as mobile phone, digital camera, and personal digital assistant. There are stepping motor, voice coil motor, and piezoelectric motor as auto focus actuator. In this paper, voice coil motor having new electromagnetic configuration is proposed. And actuator using proposed voice coil motor is developed by optimal design method using magnetic circuit analysis. The sectional area of the developed actuator is reduced to 32.4% compared with actuator using general electromagnetic configuration. From the performance test, the developed actuator has moving stroke of 0.64 mm for 2.1 volt, hysteresis of 40 $\mu$m, full stroke current of 54 mA, and unit step motion of 3 $\mu$m.

동적 스테레오 카메라 모델링 (An active stereo camera modeling)

  • 도경민;이쾌희
    • 제어로봇시스템학회논문지
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    • 제3권3호
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    • pp.297-304
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    • 1997
  • In stereo vision, camera modeling is very important because the accuracy of the three dimensional locations depends considerably on it. In the existing stereo camera models, two camera planes are located in the same plane or on the optical axis. These camera models cannot be used in the active vision system where it is necessary to obtain two stereo images simultaneously. In this paper, we propose four kinds of stereo camera models for active stereo vision system where focal lengths of the two cameras are different and each camera is able to rotate independently. A single closed form solution is obtained for all models. The influence of the stereo camera model to the field of view, occlusion, and search area used for matching is shown in this paper. And errors due to inaccurate focal length are analyzed and simulation results are shown. It is expected that the three dimensional locations of objects are determined in real time by applying proposed stereo camera models to the active stereo vision system, such as a mobile robot.

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