• International journal of advanced smart convergence
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• 제10권3호
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• pp.157-162
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• 2021

With the recent increase in YouTube content, many YouTubers are shooting with a handheld camera. Audiences are increasingly accustomed to the movement of handheld cameras. As the camera moves faster than the camera movement of the old movies, and the camera moves splendidly to the music of the music video, the camera movement in CG animation is also needed to change. The handheld Steadicam creates a natural camera movement by compensating so that the screen does not vibrate significantly even when the vibration is large and by minimizing rotation. In order to implement such camera movement, we tried to make a handheld Steadicam using nParticle simulation of Maya software and apply it to the scene to verify whether it is possible to implement the necessary natural and various movement.

• 트랜스-
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• 제6권
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• pp.79-95
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• 2019

새로운 기술의 발전과 도입은 영화를 만드는 과정에서 소비에 이르기까지 광범위한 영역에 큰 변화를 초래하기도 한다. 프랑스의 영화감독이자 이론가인 아스트뤽은 16mm 카메라의 등장에 주목하며 영화가 다른 예술 장르처럼 작가(감독)의 비전을 실현하는 도구로 활용될 것이라 예견했다. 그의 주장을 증명하듯, 프랑스의 누벨바그와 시네마 베리테의 감독들은 가벼워진 카메라를 손에 들고 거리로 나가 현실의 모습들을 포착하며 기존 할리우드 스튜디오와 차별되는 영화를 만들었다. 핸드헬드 카메라는 감독들에게 민첩한 움직임과 기동성을 제공했고, 이를 바탕으로 영화는 다양한 종류의 현실을 포착할 수 있었다. 미국의 존카사베츠를 포함한 다른 감독들도 핸드헬드 촬영에 주목했고, 결과적으로 핸드헬드 카메라는 대표적인 촬영방식의 하나로 자리를 잡았다. 하지만 기술은 중립적이고, 하나의 촬영방식이 하나의 미학 혹은 사조를 위해서 봉사하지 않는다. 한 때, 현실을 기록하고 포착하기 위해 봉사하던 핸드헬드 촬영은 이제는 정반대의 목적을 위해서 혹은 그저 가상의 존재에게 현실적인 아우라를 만들어주기 위해서 사용되기도 한다.

• 한국멀티미디어학회논문지
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• 제20권11호
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• pp.1820-1827
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• 2017

With the development of 3D technology, image expression has been widely used in the field of 3D animation these days for the purpose of illustrating a certain image, feeling or status. In this paper, we examine how it affects to audiences' feelings and senses when we applied the handheld camera technique to other kinetic characteristics. In addition, we analyze the scenes which the handheld camera technique is applied into each characteristic from movie contents, present the kinetic characteristics of the handheld camera technique, and study the scenes that can apply this technique with 3D animation and its influence.

• IEIE Transactions on Smart Processing and Computing
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• 제1권2호
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• pp.78-87
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• 2012

In this paper, we address the tracking problem caused by camera motion and rolling shutter effects associated with CMOS sensors in consumer handheld cameras, such as mobile cameras, digital cameras, and digital camcorders. A modified particle filtering method is proposed for simultaneously tracking objects and compensating for the effects of camera motion. The proposed method uses an elastic registration algorithm (ER) that considers the global affine motion as well as the brightness and contrast between images, assuming that camera motion results in an affine transform of the image between two successive frames. By assuming that the camera motion is modeled globally by an affine transform, only the global affine model instead of the local model was considered. Only the brightness parameter was used in intensity variation. The contrast parameters used in the original ER algorithm were ignored because the change in illumination is small enough between temporally adjacent frames. The proposed particle filtering consists of the following four steps: (i) prediction step, (ii) compensating prediction state error based on camera motion estimation, (iii) update step and (iv) re-sampling step. A larger number of particles are needed when camera motion generates a prediction state error of an object at the prediction step. The proposed method robustly tracks the object of interest by compensating for the prediction state error using the affine motion model estimated from ER. Experimental results show that the proposed method outperforms the conventional particle filter, and can track moving objects robustly in consumer handheld imaging devices.

• 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).

• 대한임베디드공학회논문지
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• 제5권4호
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• pp.195-205
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• 2010

The popularity of Smartphones makes new fields of applications based on location based service easily feasible with a new user interface called augmented reality (AR). It presents a particularly powerful user interface to context-aware computing environments. AR on Smartphones integrates virtual information into a person's physical environment by overlaying information on an image taken through Smartphone's camera and motion sensors. Mobile augmented reality systems provide this service without constraining the individual's whereabouts to a specially equipped area. This work presents an overview of handheld augmented reality focusing on applications with introducing the basic issues of them. For this purpose, an example system, Studierstube ES (embedded system), is cited, which introduces the most significant problems and various methods of solving them through the experience of converting existing PC-based AR system into handheld AR.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2012년도 춘계학술대회
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• pp.848-849
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• 2012

본 논문에서는 운전자가 후진 시, 자동차의 후진 예상경로를 파악하여 내비게이션이나 휴대용 기기에 후방카메라 영상과 예상 경로를 함께 표시하여 안전운전을 도와주는 경로 예측 방식의 후진 주차 가이드 시스템을 개발하였다. 본 시스템은 다양한 차종에 적용 가능하며, 다양한 후방카메라의 특성 및 설치환경을 지원하고 내비게이션이나 휴대용 기기에 호환되며 시스템의 탈부착이 쉽고, 편리하게 구성할 수 있다.

• 한국방송∙미디어공학회:학술대회논문집
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• 한국방송공학회 2009년도 IWAIT
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• pp.628-631
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• 2009

In this paper, we proposed a new authentication method using video that was taken during moving a hand-held camera in front of the face. The proposed method extracted individuality from the obtained image sequences using the parametric eigenspace scheme. Changes of facial appearance through authentication trials draw continuous tracks in the low dimensional igenspace. The similarity between their continuous tracks are calculated by DP-matching to verify their identities. Experimental results confirmed that different motions and persons change the shapes of continuous tracks, so the proposed method could identify the person.

• Journal of the Optical Society of Korea
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• 제15권1호
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• pp.74-77
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• 2011

We report a novel extension of 840 nm wavelength- based spectral domain optical tomography to in vivo/real-time human middle ear diagnosis. The system was designed to access the middle ear region with a specifically dedicated handheld probe. The real-time displaying feature was mandatory for in vivo imaging human subject with the handheld probe, and the system could provide about 20 frames per second for 2048 pixels by 1000 A-scans without using any graphics process units under the Labview platform. The inner ear structure of a healthy male volunteer was imaged with the developed system with the axial and lateral resolutions of $15\;{\mu}m$ and $30\;{\mu}m$, respectively. The application of the OCT technology to early diagnose otitis media(OM) is very promising and could be another extensive branch in the OCT field because it provides the depth resolved image including tympanic membrane (TM) and structures below TM whereas the conventional otoscope technique only gives asurface image of the TM.

• 한국정보통신학회논문지
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• 제18권12호
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• pp.3035-3041
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• 2014

3D 애니메이션 제작 과정에서 가상 카메라의 이동을 보다 자연스러운 영상으로 표현하기 위해서 스테디캠 기법을 많이 사용하고 있다. 가상카메라에서 스테디캠 효과를 표현하기 위한 기존의 방식은 키프레임을 이용하는 것으로 카메라의 모든 움직임을 수작업으로 처리한다. 그러나 영상에서 카메라 워킹을 수작업으로 처리하는 것은 제작 시간이 많이 소요되는 번거로운 작업이며 카메라의 움직임이라는 물리적 현상을 인위적으로 표현함으로써 부자연스러운 결과를 얻는다. 본 연구는 3D 애니메이션에서 가상카메라의 이동에 따라 카메라에 가해지는 물리적 현상을 모델링하여 자동으로 스테디캠 효과를 낼 수 있는 방식을 제안한다. 제안하는 물리적 모델링은 파이선 스크립트 언어로 구현되어 마야의 제작 플랫폼에서 바로 적용 가능하다. 제안하는 방법은 기존의 수기적인 제작환경을 개선하고 영상의 자연스러운 시각적 효과를 극대화 할 수 있다.