• Title/Summary/Keyword: DSLR

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기획특집 1 - 국내 카메라 시장 동향 및 주요 브랜드별 마케팅 전략 - 디지털 카메라의 '춘추전국시대'

  • Park, Ji-Yeon
    • The Optical Journal
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    • s.132
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    • pp.28-33
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    • 2011
  • 점점 고기능화 다양화 되는 콤팩트 디카와 DSLR 그리고 2010년부터 시장에 돌풍을 몰고 온 미러리스 카메라까지, 바야흐로 디지털 카메라의 춘추전국시대이다. 2009년부터 콤팩트 디카 시장이 마이너스 성장으로 돌아선 가운데 일찌감치 카메라업체들의 신규시장을 창출하려는 의지와 새롭고 다양한 기능의 카메라에 대한 소비자들의 기대심리가 맞물리면서 현재 카메라 시장은 '신기술의 경연장'으로 불릴 만큼 하루가 다르게 다양한 제품들이 시장에 쏟아져 나오고 있다. 지난해에 이어 2011년에도 미러리스 카메라의 고공행진이 계속되는 가운데 더욱 막강해진 중 보급형 DSLR의 꾸준한 상승세와 소셜 네트워크 환경에 초점을 맞춘 고기능성의 콤팩트 디카의 성장이 맞물리면서 카메라 시장은 그 어느 때 보다 치열한 각축전이 예상된다.

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Stereoscopic Video Compositing with a DSLR and Depth Information by Kinect (키넥트 깊이 정보와 DSLR을 이용한 스테레오스코픽 비디오 합성)

  • Kwon, Soon-Chul;Kang, Won-Young;Jeong, Yeong-Hu;Lee, Seung-Hyun
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.38C no.10
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    • pp.920-927
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    • 2013
  • Chroma key technique which composes images by separating an object from its background in specific color has restrictions on color and space. Especially, unlike general chroma key technique, image composition for stereo 3D display requires natural image composition method in 3D space. The thesis attempted to compose images in 3D space using depth keying method which uses high resolution depth information. High resolution depth map was obtained through camera calibration between the DSLR and Kinect sensor. 3D mesh model was created by the high resolution depth information and mapped with RGB color value. Object was converted into point cloud type in 3D space after separating it from its background according to depth information. The image in which 3D virtual background and object are composed obtained and played stereo 3D images using a virtual camera.

A Study on the Image-Based Luminance Measurement System Using the Measuring Position (측정 위치를 고려한 영상기반 휘도측정시스템에 관한 연구)

  • Sun, Eun-Hey;Kim, Yong-Tae
    • Journal of the Korean Institute of Intelligent Systems
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    • v.24 no.4
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    • pp.424-429
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    • 2014
  • In this paper, an image-based luminance measurement system(LMS) is proposed to measure the luminance of outdoor signboards. We design the LMS that can improve disadvantages of efficiency of the point-luminance meter and portability of face-luminance meter using the image of DSLR camera and print out the luminance value by using the proposed luminance analysis algorithm in real time. Outdoor signboards have various size and shape, and are also installed on the various place. Luminance of the signboard is influenced by measurement location, angle, color, etc. Therefore, we measure the change of luminance value in accordance with measurement location for accurate luminance measurement and then consider the luminance value according to the measurement distance. We obtain a numerical relation between luminance value and measurement location. The proposed LMS is verified through comparative experiment with point-luminance meter.

Hybrid Camera System with a TOF and DSLR Cameras (TOF 깊이 카메라와 DSLR을 이용한 복합형 카메라 시스템 구성 방법)

  • Kim, Soohyeon;Kim, Jae-In;Kim, Taejung
    • Journal of Broadcast Engineering
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    • v.19 no.4
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    • pp.533-546
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    • 2014
  • This paper presents a method for a hybrid (color and depth) camera system construction using a photogrammetric technology. A TOF depth camera is efficient since it measures range information of objects in real-time. However, there are some problems of the TOF depth camera such as low resolution and noise due to surface conditions. Therefore, it is essential to not only correct depth noise and distortion but also construct the hybrid camera system providing a high resolution texture map for generating a 3D model using the depth camera. We estimated geometry of the hybrid camera using a traditional relative orientation algorithm and performed texture mapping using backward mapping based on a condition of collinearity. Other algorithm was compared to evaluate performance about the accuracy of a model and texture mapping. The result showed that the proposed method produced the higher model accuracy.

Smart Solar Control System: Based on the Low-Power Control of Arduino Board (지능형 태양광 전력 관리 시스템 (아두이노 저전력 제어를 중심으로))

  • Kwon, Oh-Sung
    • Journal of The Korean Association of Information Education
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    • v.23 no.5
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    • pp.461-467
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    • 2019
  • As the convergence solutions become more common, the use of Arduino and Raspberry Pi boards has been increasing. These control boards has to be executed under power blackout. In this environment, we take advantage of solar power system to overcome the power out. In this paper, we poposed a effficient power control strategy. Our experimental device is a DSLR shooting device executed based a predesigned interval time. The control module of our experimental device is the compound system of Raspberry Pi and Arduino boards. Arduino board send the force signals to wake up Raspberry Pi. We developed a new control strategy algorithm for the efficient use of solar power energy. In this paper, we mesured the efficiency of solar enery consuming of our system. We programmed a control system to send DSLR shooting signals. In experimentals, we ensured a stable consuming of electricity during 10 days. In the end, it was found that the consumption power of the Raspberry was reduced by about 81% when the Aduino was combined to save power.

3D Depth Estimation by a Single Camera (단일 카메라를 이용한 3D 깊이 추정 방법)

  • Kim, Seunggi;Ko, Young Min;Bae, Chulkyun;Kim, Dae Jin
    • Journal of Broadcast Engineering
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    • v.24 no.2
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    • pp.281-291
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    • 2019
  • Depth from defocus estimates the 3D depth by using a phenomenon in which the object in the focal plane of the camera forms a clear image but the object away from the focal plane produces a blurred image. In this paper, algorithms are studied to estimate 3D depth by analyzing the degree of blur of the image taken with a single camera. The optimized object range was obtained by 3D depth estimation derived from depth from defocus using one image of a single camera or two images of different focus of a single camera. For depth estimation using one image, the best performance was achieved using a focal length of 250 mm for both smartphone and DSLR cameras. The depth estimation using two images showed the best 3D depth estimation range when the focal length was set to 150 mm and 250 mm for smartphone camera images and 200 mm and 300 mm for DSLR camera images.

Tensile and fracture characterization using a simplified digital image correlation test set-up

  • Kumar, Abhishek;Vishnuvardhan, S.;Murthy, A. Ramachandra;Raghava, G.
    • Structural Engineering and Mechanics
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    • v.69 no.4
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    • pp.467-477
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    • 2019
  • Digital image correlation (DIC) is now a popular and extensively used full-field metrology technique. In general, DIC is performed by using a turnkey solution offered by various manufacturers of DIC. In this paper, a simple and economical set-up for DIC is proposed which uses easily accessible digital single-lens reflex (DSLR) camera rather than industrial couple-charged device (CCD) cameras. The paper gives a description of aspects of carrying a DIC experiment which includes experimental set-up, specimen preparation, image acquisition and analysis. The details provided here will be helpful to carry DIC experiments without specialized DIC testing rig. To validate the responses obtained from proposed DIC set-up, tension and fatigue tests on specimens made of IS 2062 Gr. E300 steel are determined. Tensile parameters for a flat specimen and stress intensity factor for an eccentrically-loaded single edge notch tension specimen are evaluated from results of DIC experiment. Results obtained from proposed DIC experiments are compared with those obtained from conventional methods and are found to be in close agreement. It is also noted that the high resolution of DSLR allows the use of proposed approach for fracture characterization which could not be carried out with a typical turnkey DIC solution employing a camera of 2MP resolution.

Mineral Image Analysis Technique (광물이미지 분석 기법)

  • Shin, Kwang-seong;Shin, Seong-yoon
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2021.05a
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    • pp.353-354
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    • 2021
  • In this study, in order to overcome the limitations of the particle size analysis method using a scanner, a microscope, or a laser, and to reduce the cost, a high-quality sampling of micro minerals is performed using an ultra-high-pixel DSLR camera and a MACRO lens. Using this, digital photos taken of standard mineral particles are analyzed to distinguish the size and shape of mineral particles at the level of grain of sand (a few mm ~ 0.063 mm). In addition, various photographing techniques for the production of three-dimensional images of mineral particles were sought, and an attempt was made to produce learning materials and images for mineral classification.

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An Analysis on RAW Image File of DLSR Camera and Development of a RAW Image Viewer for an Embedded Device (DLSR 카메라의 RAW 이미지 파일 분석 및 임베디드 장치용 RAW 이미지 뷰어 개발)

  • Ro, Kwang-Hyun;Kim, Seung-Cheon
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.12 no.3
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    • pp.1341-1349
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    • 2011
  • This research is focused on an analysis on the structure of RAW image file and the development of a RAW image file viewer for an embedded device. Recently, several RAW image file formats are being used for saving and displaying the images created by various DSLR cameras, and the necessity of handing RAW images in mobile multimedia devices is increasing. For the development of RAW image decoding/encoding library applicable to WinCE-based embedded devices viewer, an analysis of RAW image file formats, such as CRW, CR2, PEF, NEF, MRW, have been performed because their formats are not released in public. By using the library, the analysis software which can extract RAW image data, 2~3 JPEG image files and other informations such as the specification of a camera and various photographic parameters from RAW image files, were developped and a RAW image file viewer which can run in WinCE-based embedded devices. The experimental result has shown that the viewer could encode and decode RAW image files successfully and it took approximately 10secs to load them to the screen in S3C6410 based embedded platform. The outcomes of this research cloud be a good information and solution to multimedia application developers.