• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2003.05a
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• pp.171-174
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• 2003

This paper is a study on the 3D infrared image enhancement with Stereoscopic algorithm on still infrared image. The adapted stereo method is that the depth is extracted by comparison with right-left image, and the enhanced 3D infrared image by matching based on feature is realized. As the result of experiment this method forced the more smooth edge lines of 3D infrared images.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2011.07a
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• pp.329-330
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• 2011

3D 영상산업이 발전해 오면서 현재 3D 영상으로 가장 많이 사용되는 것이 바로 stereoscopic 영상이다. 이러한 영상은 인간의 뇌를 속임으로써 화면에 비쳐지는 영상이 마치 화면 밖에 위치하는 것 같은 착각을 일으키게 만들어 3D영상을 인식할 수 있게 해준다. 이때 사람이 양안시를 인식하는 문제에 관한 연구는 이미 안경학에서 많은 발전을 이루어 왔지만, 현재 논의의 중점인 3D 양안시력은 평소 사람이 사용하는 양안시가 아닌 3D Display에서 비춰지는 영상을 다양한 방법으로 양쪽 눈에 다른 영상을 인식하게 함으로써 입체를 인식하게 하는 것이며, 이러한 3D 양안시력을 측정하는 방법에 대해서는 기존의 양안시력과는 다른 측정 방법을 적용하여야 한다. 따라서 이 논문에서는 이러한 3D 입체 영상에 대한 입체시를 측정하는 방법에 대하여 제안한다.

• Journal of the Semiconductor & Display Technology
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• v.15 no.1
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• pp.47-51
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• 2016

Human visual system infers 3D vision through stereo disparity in the stereoscopic images, and stereo visioning are recently being used in consumer electronics which has resulted in much research in the application field. Basically, stereo vision system consists of four processes, which are cost computation, cost aggregation, disparity calculation, and disparity refinement. In this paper, we present and evaluate the existing various methods, focusing on cost aggregation for stereo vision system to comparatively analyze the performance of their algorithms for a given set of resources. Experiments show that Normalized Cross Correlation and Zero-Mean Normalized Cross Correlation provide higher accuracy, however they are computationally heavy for embedded system in the real time systems. Sum of Absolute Difference and Sum of Squared Difference are more suitable selection for embedded system, but they should be required on improvement to apply to the real world system.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2006.05a
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• pp.209-212
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• 2006

This paper presents design and implementation methods of the eye-controlled mouse using the real-time tracking of the three dimensional gazing point. The proposed method is based on three dimensional data processing of eye images in the 3D world coordinates. The system hardware consists of two conventional CCD cameras for acquisition of stereoscopic image and computer for processing. And in this paper, the advantages of the proposed algorithm and test results are described.

• Korean Journal of Remote Sensing
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• v.7 no.1
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• pp.29-43
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• 1991

The study was performed to extraction the ground water potential area using LANDSAT TM data. The image processing techniques developed for the study are contrast transformation, differential filtering and pseudo stereoscopic image methods. These were examined for lineament extraction, lineament interpretation and the integration of vertor data with LANDSAT data. The differential filtering method is much usefull for lineament extraction, and all direction lineaments are clearly shown on the band 5 image of LANDSAT TM. The pseudo stereoscopic image are made in which color differential method is adopted, the pair images are usefull for the lineament interpretation. The results of the analysis are as follows. 1) there is a close correlation between lineament and cased well in the study area, because 33 wells of the developed 45 cased wells coincide with the lineaments. 2) 21 sites in the study area were selected for pumping test, and as a result 11 sites of them produces over than 200 ton/day.

• Journal of the Semiconductor & Display Technology
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• v.9 no.3
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• pp.65-69
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• 2010

The stereoscopic vision system is the algorithm to obtain the depth of target object of stereo vision image. This paper presents an efficient disparity matching method using nagao filter, octree color quantization and dynamic programming algorithm. we describe methods for performing color quantization on full color RGB images, using an octree data structure. This method has the advantage of saving a lot of data. We propose a preprocessing stereo matching method based on Nagao-filter algorithm using color information. using the nagao filter, we could obtain effective depth map and using the octree color quantization, we could reduce the time of computation.

• Proceedings of the Korea Information Processing Society Conference
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• 2011.11a
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• pp.471-473
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• 2011

3D 콘텐츠들은 과거 입체영화 '아바타' 이후로 꾸준히 증가하고 있다. 그리고 인터넷 등을 포함한 사이버 공간의 모든 환경이 제공자 위주에서 사용자 중으로 급격하게 변화하고 있는 상황이다. 이에 사용자들은 원하는 높은 현실감을 바탕으로 디지털 콘텐츠의 입체영상 서비스를 제공받기를 원한다. 그렇기에 3D 콘텐츠의 증가에 따른 Stereoscopic 기술의 필요성이 증대 되었다. 따라서 본 논문은 3차원 입체영상 기술의 기저 기술 중에 하나인 Anaglyph 영상을 연구하기로 하였다. 최종적으로 일반 영상 및 입체 사진을 이용한 스테레오 영상 변환 연구를 진행한다. 세부적으로는 입체 사진(Anaglyph)을 이용한 스테레오 영상 분할, 일반 영상을 이용한 스테레오 영상 편집 연구로 나누어 진행 하였다.

• Journal of Digital Contents Society
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• v.15 no.2
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• pp.237-250
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• 2014

In this paper, the research problem (1) 2D to 3D stereoscopic images to create the work, the stereoscopic 3D production work in accordance with the method works independently of the 2D image derivatives can be recognized as whether the rights were discussed. (2) In addition, 3D imaging work has to be recognized as a derivatives, the copyright belongs create derivatives and about the rights of attribution investigated.

• Journal of Broadcast Engineering
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• v.19 no.2
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• pp.205-214
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• 2014

Minimization of visual fatigue is important for production of high quality stereoscopic 3D contents. Vertical disparity of stereo images occurred during contents production is considered as the main factor of visual fatigue. To ensure correct stereoscopy vertical disparity needs to be eliminated. In this paper, a method for automated image alignment was proposed for Stereoscopic 3D contents generation and post-processing steps. The proposed method consists of two parts: rectification for image alignment and camera motion detection. The proposed method showed that its rectification performance was the most superior among the existing methods tested and that camera motion detection had a success rate of 98.35%. Through these evaluations, we confirmed that the proposed method can be effectively applied to 3D contents production.

• The Journal of the Korea Contents Association
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• v.11 no.3
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• pp.9-17
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• 2011

Recently, with the advent of stereoscopic 3D TV, the activation of 3D stereoscopic content is expected. Research on 3D auto stereoscopic display has been carried out to relieve discomfort of 3D stereoscopic display. In this research, it is necessary to generate the elemental image from a lens array. As the number of lens in a lens array is increased, it takes a lot of time to generate the elemental image, and it will take more time for a large volume data. In order to improve the problem, in this paper, we propose a method to generate the elemental image by using OpenCL based on CUDA. We perform our proposed method on PC environment with one of Tesla C1060, Geforce 9800GT and Quadro FX 3800 graphics cards. Experimental results show that the proposed method can obtain almost 20 times better performance than recent research result[11].