• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.10a
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• pp.376-378
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• 2022

Artificial intelligence technology is widely used in various fields such as artificial intelligence speakers, artificial intelligence chatbots, and autonomous vehicles. Among these AI application fields, the image processing field shows various uses such as detecting objects or recognizing objects using artificial intelligence. In this paper, data synthesized by a virtual human is used as a method to analyze images taken in a specific space.

• Journal of the Korea Computer Graphics Society
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• v.21 no.3
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• pp.55-61
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• 2015

In this paper, we introduce a method to synthesize realistic make-up effects on input images efficiently. In particular, we focus on shading on the make-up effects due to the lighting and face curvature. By doing this, we can synthesize a wider range of effects realistically than the previous methods. To do this, the information about lighting information together with the normal vectors on all pixels over the face region in the input image. Since the previous methods that compute lighting information and normal vectors require relatively heavy computation cost, we introduce an approach to approximate lighting information using cascade pose regression process and normal vectors by transforming, rendering, and warping a standard 3D face model. The proposed method consumes much less computation time than the previous methods. In our experiment, we show the proposed approximation technique can produce naturally looking virtual make-up effects.

• The Journal of the Korea institute of electronic communication sciences
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• v.9 no.11
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• pp.1317-1322
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• 2014

To complete an image, it is needed to go through the process to capture the actual actor's motion and compose it with virtual environment. Due to the excessive cost for production or lack of post-processing technology, however, it is mostly conducted by manual labor. The actor plays his role depending on his own imagination at the virtual chromakey studio, and at that time, he has to move considering the possible collision with or reaction to an object that does not exist. And in the process of composition applying CG, when the actor's motion does not go with the virtual environment, the original image may have to be discarded and it is necessary to remake the film. The current study suggested and realized depth-based real-time 3D virtual image composition system to reduce the ratio of remaking the film, shorten the production time, and lower the production cost. As it is possible to figure out the mutual collision or reaction by composing the virtual background, 3D model, and the actual actor in real time at the site of filming, the actor's wrong position or acting can be corrected right there instantly.

• Proceedings of the Korea Contents Association Conference
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• 2018.05a
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• pp.463-464
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• 2018

리얼리티를 추구하는 영상기술의 발달은 가상현실을 구현하는 하드웨어의 발달을 불러왔다. 최근의 가상현실 콘텐츠들은 프로토타입이나 게임에의 시험 적용을 넘어 영화시장에도 문을 두드리고 있다. VR 콘텐츠가 보급되기 위해서는 하드웨어 뿐 아니라 콘텐츠의 제작방식에도 기존과 다른 접근 방식이 필요하다는 내용들이 제작 사례들을 통해 알려지고 있다. 본문에서는 VR 단편 영화의 카메라 설정과 관객들의 청취에 방해요소들을 사전에 줄여나가기 위해 모션캡쳐를 통해 사전영상제작을 수행한 사례를 통해 필요한 사전제작의 작업공정을 분석해 보았다.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.38 no.5
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• pp.538-547
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• 2001

Currently, 2D real-time image coding techniques had great developments and many related products were commercially developed. However, these techniques lack the capability of handling 3D actuality, occurred by the advent of virtual reality, because they handle only the temporal transmission for 2D image. Besides, many 3D virtual reality researches have been studied in computer graphics. Since the graphical researches were limited to the application of artificial models, the 3D actuality for real scene images could not be managed also. Therefore, a new 3D model extraction method based on stereo vision, that can deal with real scene virtual reality, is proposed in this paper. The proposed method adapted a compact genetic algorithm using population-based incremental learning (PBIL) to matching environments, in order to reduce memory consumption and computational time of conventional genetic algorithms. Since the PBIL used a probability vector and competitive learning, the matching algorithm became simple and the computation load was considerably reduced. Moreover, the matching quality was superior than conventional methods. Even if the characteristics of images are changed, stable outputs were obtained without the modification of the matching algorithm.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2007.02a
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• pp.3-8
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• 2007

최근, 실감 영상에 대한 관심과 요구가 증가하면서 신개념 서비스인 3차원 다시점(Multi-view) 방송에 대한 연구가 다양하게 진행되고 있다. 이와 더불어 광고와 게시를 목적으로 입체 영상과 입체 디스플레이 장치의 수요가 증가하고 있어, 앞으로 다시점 영상 콘텐츠와 디스플레이 장치가 활발하게 보급될 전망이다. 다시점 영상 콘텐츠는 제작 단계에서 컴퓨터 그래픽스 객체를 합성하면 보다 목적에 부합하는 콘텐츠를 제작할 수 있다. 본 논문에서는 다시점 카메라로부터 얻은 RGB 텍스쳐 데이터와 깊이 테이터에 컴퓨터 그래픽스 객체를 합성하여 다시점 합성 영상을 생성하는 방법을 제안한다. 또한, 제작된 다시점 합성 영상을 검증하고 재생하는 다시점 비디오 뷰어를 설계, 구현 한다. 가상의 다시점 영상에 그래픽스 객체를 합성하는 방법은 후 합성 기반으로, 임의의 그래픽스 객체 모델을 생성하여 깊이 정보를 부여하고, 가상 시점 영상의 생성과 동일한 방법으로 그래픽스 객체의 각 시점별 영상을 생성한다. 끝으로 깊이정보를 사용하여 가상 시점 영상의 적절한 좌표공간으로 그래픽스 객체를 삽입한다. 그래픽스 합성의 정확성 검증을 위해 다시점 그래픽스 합성 영상을 디스플레이하는 뷰어는 2D 및 입체를 모두 지원하고, view switching, frozen moment, view sweeping 등의 interactive special effect기법과 다양한 포맷의 저장이 가능하다. 또한, 입체 영상의 실험에서는 그래픽 객체의 입체감 조절을 위해 실제 카메라 시점 간에 필요한 중간시점영상의 개수를 결정할 수 있다.

• Journal of the Korea Computer Graphics Society
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• v.7 no.2
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• pp.29-35
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• 2001

In general, image-based virtual environment is represented by panoramic images created by image mosaic algorithm. The cylindrical panoramic image supports the fixed-viewpoint navigation due to the constraints of construction. Shum proposed concentric mosaics to allow users to navigate freely within a circular area[10]. It is constructed by a sequence of images which is acquired from a regularly rotating camera. Concentric mosaics technique, proposed by Shum, is considered as 3D plenoptic function which is defined three parameters : distance, height and angle. In this paper, we suggest an effective method for creating concentric mosaics, in which we first align a set of strip images on the cylinder plane and stitch the aligned strips to build a panoramic image. The proposed method has no constraints such as regular panning motion of camera. Furthermore, our proposed method minimizes the use of interpolation image to create a novel view images from the concentric mosaics. It allows the result image on a novel view to have better quality with respect to the number of input images.

• Journal of the Korea Computer Graphics Society
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• v.25 no.3
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• pp.115-122
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• 2019

We In this study, We tested for artificial intelligence-based virtual space story books were planned. The proposed virtual space concept, a story book with the characteristics of Augmented Virtuality, was implemented Several steps are needed to proceed with the virtual space storybook's story. First, a user brings a real object in to virtual space and recognizes the real object with an artificial intelligence-based object-recognition software. Second, when object recognition progresses, the virtual 3D model is augmented in the virtual space, which is then inserted into the virtual space and rendered. Finally, software projected a virtual space storybook on the desk in which users can touch and select real-objects. This virtual space storybook was implemented using the new story-making technology by applying the virtual space concept. the Augmented Virtuality concept is to augment real objects based on virtual space. To confirm this we tested a user test using the virtual space storybook. the user seemed as if can the distinction between real objects and virtual images. Also very well and that understood the process of putting the real objects in virtual space.

• Proceedings of the Korean Vacuum Society Conference
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• 2015.08a
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• pp.229.2-229.2
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• 2015

전자현미경은 전자빔을 이용하여 나노 수준의 분해능으로 초미세 구조물을 관찰할 수 있는 측정 장치이다. 이러한 전자를 소스로 사용하는 현미경에서 전자총의 특성을 파악하는 것은 전자현미경의 광학계를 설계하거나 그 성능을 평가할 때 매우 중요하다. 본 연구에서 제작한 전자총 평가 시스템은 전자총의 특성인 각전류밀도와 가상 전자원 크기를 측정할 수 있다. 이러한 특성을 정확하게 도출하기 위해서는 우선 가상 전자원의 위치를 알아야 한다. 전자총 평가 시스템은 전자총에서 방출된 전자빔을 형광 스크린에 조사하여 전자빔을 가시광선으로 변환하고, 형광 스크린 반대편에서 광학 현미경 렌즈가 장착된 카메라를 이용하여 빛으로 변환된 전자빔을 촬영하여 영상으로 획득 할 수 있다. 본 발표는 이렇게 획득한 영상에서 MathWorks(R)사의 MATLAB(R) 소프트웨어를 이용하여 물리적인 거리를 도출하기 위하여 사용하는 영상처리기법을 소개한다. 사용한 영상처리는 픽셀을 기반으로 계산하였으며, 취득 영상의 잡음을 제거하는 방법, 형광 스크린에서 획득한 전자빔에서 전자빔의 중심점 찾는 방법 및 이동한 전자빔의 거리를 계산하는 방법 등이 있다.

• Journal of Digital Contents Society
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• v.8 no.3
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• pp.365-370
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• 2007

This paper proposes a new algorithm that generates a panorama image for reconstruction of image-based virtual environment. Proposed algorithm can generate panorama image from input images using the projective transform based on the feature model and a fully immersive image-based virtual environment according to the user's view point by the sphere mapping. Especially, proposed algorithm supports robust methods of camera rotation and is applied to various images to estimate ist performance.