• The KIPS Transactions:PartD
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• v.11D no.3
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• pp.691-702
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• 2004

In this paper, we propose a sequence of method which extrats ROIs(Region of Interests) rapidly from the parcel image of large size. In the proposed method, original image is spilt into the small masks, and the meaningful masks, the ROIs, are extracted by two criterions sequentially The first criterion is difference of pixel value between Inner points, and the second is deviation of it. After processing, some informational ROIs-the areas of bar code, characters, label and the outline of object-are acquired. Using diagonal axis of each ROI and the feature of various 2D bar code, the area of 2D bar code can be extracted from the ROIs. From an experiment using above methods, various ROIs are extracted less than 200msec from large-size parcel image, and 2D bar code region is selected by the accuracy of 100％.

• The KIPS Transactions:PartD
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• v.9D no.5
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• pp.925-930
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• 2002

This paper discusses techniques for embedding data into 3D polygonal models of geometry. Much researches of Watermarking had been gone as element technology of DRM (digital rights management). But, few research had gone to 3D polygonal model. Most research is limited at text document, 2D image, animation, music etc. RP system is suitable a few production in various goods species, and it is used much in industry to possible reason that produce prototype and find error or incongruent factor at early stage on design in product development childhood. This paper is research about method that insert watermark in STL ( stereolithography) file that have 3D shape model. Proposed algorithm inserts watermark in normal vector region and facet's interior region of 3D shape data. For this reason, 3D shape does not produce some flexure and fulfill invisibility of watermark. Experiment results that insert and extract watermark in normal netter region and facet's Interior region of 3D shape data by proposed algorithm do not influence entirely in 3D shape and show that insertion and extraction of watermark are possible.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2011.07a
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• pp.305-307
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• 2011

최근 3D 입체 영화 및 3D 방송 기술의 개발과 더불어, 사용자의 몰입감을 극대화하기 위하여, 3D 입체영상과 사용자의 인터랙션 효과를 융합하는 3D Interaction 기술이 개발되고 있다. 본 논문에서는 3D 디스플레이에서의 시각안전영역을 고려한 3D 사용자 인터페이스의 구현 방법에 대해서 소개한다. 사용자의 입력에 따라 객체의 변이 정보를 계산하고, 변이 정보가 사람의 시각안정영역 내에서 존재하도록 적응적으로 깊이를 조절하여, 사용자의 시각적 편안함과 3D 객체에 대한 조절 기능을 제공할 수 있다. 무안경 3D 디스플레이 상에서의 구현 결과를 통해 제안하는 기술의 효율성을 보여준다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.12 no.4
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• pp.603-610
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• 2008

In this paper, we propose an efficient noise reduction algorithm for digital hologram during acquisition and transmission. The proposed algorithm segment a digital hologram with object region and background region after DCT. Then, we adopt a histogram transition method for object region and zero-value change method for background region. The experimental results show that our algorithm has beuer performance than a natural image denoising algorithm.

• Journal of Broadcast Engineering
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• v.18 no.6
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• pp.795-807
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• 2013

In recent years, 2D-to-3D conversion techniques have gained much attraction. Most of conventional methods focused on natural images such as movie, animation and so forth. However, it is difficult to apply these techniques to window images mixed with text, image, logo, and icon. Also, different depth values of text pixels will cause distortion and a proper 3D image can not be delivered in some situations. To solve this problem, we propose a method to classify a given image into either a window or a natural image. For the window image, only rectangular image regions (RIR) are detected and converted in 3D. Other text and background are displayed in 2D. The proposed method was performed on more than 10,000 test images. In the experimental results, the detection ratio of window image reaches 97% and RIR detection ratio is 87%.

• Tunnel and Underground Space
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• v.33 no.6
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• pp.508-518
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• 2023

This paper presents a new approach for the automatic mapping of discontinuities in a tunnel face based on its 3D digital model reconstructed by LiDAR scan or photogrammetry techniques. The main idea revolves around the identification of discontinuity areas in the 3D digital model of a tunnel face by segmenting its 2D projected images using a deep-learning semantic segmentation model called U-Net. The proposed deep learning model integrates various features including the projected RGB image, depth map image, and local surface properties-based images i.e., normal vector and curvature images to effectively segment areas of discontinuity in the images. Subsequently, the segmentation results are projected back onto the 3D model using depth maps and projection matrices to obtain an accurate representation of the location and extent of discontinuities within the 3D space. The performance of the segmentation model is evaluated by comparing the segmented results with their corresponding ground truths, which demonstrates the high accuracy of segmentation results with the intersection-over-union metric of approximately 0.8. Despite still being limited in training data, this method exhibits promising potential to address the limitations of conventional approaches, which only rely on normal vectors and unsupervised machine learning algorithms for grouping points in the 3D model into distinct sets of discontinuities.

• Journal of the Institute of Electronics Engineers of Korea SD
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• v.39 no.1
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• pp.1-11
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• 2002

In this paper, new simple method for the calculation of depletion region under complex geometry and general purpose numerical simulator that could handle this were developed and applied in the analysis of SCM with nanoscale tip, which is a promising tool for high resolution dopant profiling. Our simple depletion region seeking algorithm alternatively switches material of elements to align ionized element boundary with contour of zero potential. To prove the validity of our method we examined whether our results satisfy the definition of depletion region and compared those with known values of un junction and MOS structure. By modeling of capacitance based on the shape of depletion region and potential distribution, we could calculate the CV curve and dC/dV curve between silicon substrate and nanoscale SCM tip.

• Proceedings of the Korean Society of Computer Information Conference
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• 2016.07a
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• pp.179-180
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• 2016

본 연구의 목적은 중학교 정보 교과에서 3D 프린터를 활용하는 방안을 제시하는 것이다. 연구는 문헌조사를 중심으로 이루어 졌다. 먼저, 3D 프린터에 관한 효과성과 각 과목별 활용사례에 관한 선행 연구를 분석하였다. 다음으로 중학교 정보 교과 교육 과정을 분석하였다. 이를 통해 중학교 정보 교과 영역 중 '문제해결과 프로그래밍' 영역이 3D 프린터를 활용하기에 가장 적합하다고 판단되어 해당 영역에서 3D 프린터를 활용할 수 있는 두 가지 방안을 제시하였다. 첫째는 3D 프린터를 프로그래밍의 도구로 활용하는 것이고, 둘째는 3D 모델링과 프린팅 자체를 통해 학습하는 것이다.

• Proceedings of the KIPE Conference
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• 2016.07a
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• pp.527-528
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• 2016

현재 전기자동차용으로 높은 출력 밀도와 넓은 속도 영역을 가지는 매입형 영구자석 전동기 (IPMSM)가 널리 사용되고 있다. 매입형 영구자석 전동기의 높은 돌극비는 큰 릴럭턴스 토크를 만들 수 있어 기저 속도 이하에서는 높은 토크를 보장한다. 하지만 고속 영역에서도 릴럭턴스 토크를 이용하여 출력을 보장하지만 큰 전류각, 즉 큰 음의 D-축 전류를 요구한다. 이는 전동기가 고속으로 갈수록 제어의 어려움으로 나타난다. 그러므로 D-축 인덕턴스의 변화에 따른 고속 영역에서 전류 지령치의 변화를 분석한다. 고속 영역에서 전류크기 및 전류각을 감소하고 정출력 범위를 증가시킬 수 있는 D-축 인덕턴스를 조사한다. 시뮬레이션을 통하여 출력을 검증한다.

• Proceedings of the Korean Information Science Society Conference
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• 2012.06c
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• pp.454-455
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• 2012

깊이 카메라에서 입력 받은 사용자의 얼굴 데이터에 morphable 모델을 fitting하여 실제 얼굴과 가까운 3D 얼굴 모델을 생성하기 위해서는 먼저 깊이 영상으로부터의 정확한 얼굴 영역 추출이 필요하다. 이를 위해 얼굴의 특징점을 기반으로 얼굴 영역 추출을 시도한다. 먼저 원본 깊이 영상을 보정하고, 컬러 영상으로부터 얼굴과 눈, 코의 영역을 탐색한 후 이를 깊이 영상에 대응시켜 눈, 코, 턱의 3차원 위치를 계산한다. 이렇게 결정된 얼굴의 주요 특징점들을 시작으로 영역을 확장함으로써 영상의 배경으로부터 얼굴 영역을 분리한다.