• Proceedings of the Korean Information Science Society Conference
• /
• 2004.04a
• /
• pp.901-903
• /
• 2004

최근 유비쿼터스 게임의 성장과 더불어 이기종의 환경에서 새로운 기법들로 보여질 수 있는 연구가 활발히 진행되고 있다. 본 논문에서는 이기종 환경에서 임의의 OpenGL 기반의 PC 게임이나 게임 뷰어가 있는데서 Java3D 형태로 재복원해서 볼 수 있는 방법을 제안한다. 결과적으로 구조적인 장면 그래프에서 사건을 처리하고, Parser에서 OpenGL Primitive들의 정점 정보를 해석해서 계층 구조를 변화시킴으로서 보다 빠른 실시간 렌더링을 구현하고자 한다.

• The Transactions of the Korea Information Processing Society
• /
• v.13 no.7
• /
• pp.326-334
• /
• 2024

Extra-oral imaging techniques such as Panoramic X-rays (PXs) and Cone Beam Computed Tomography (CBCT) are the most preferred imaging modalities in dental clinics owing to its patient convenience during imaging as well as their ability to visualize entire teeth information. PXs are preferred for routine clinical treatments and CBCTs for complex surgeries and implant treatments. However, PXs are limited by the lack of third dimensional spatial information whereas CBCTs inflict high radiation exposure to patient. When a PX is already available, it is beneficial to reconstruct the 3D oral structure from the PX to avoid further expenses and radiation dose. In this paper, we propose 3DentAI - an U-Net based deep learning framework for 3D reconstruction of oral structure from a PX image. Our framework consists of three module - a reconstruction module based on attention U-Net for estimating depth from a PX image, a realignment module for aligning the predicted flattened volume to the shape of jaw using a predefined focal trough and ray data, and lastly a refinement module based on 3D U-Net for interpolating the missing information to obtain a smooth representation of oral cavity. Synthetic PXs obtained from CBCT by ray tracing and rendering were used to train the networks without the need of paired PX and CBCT datasets. Our method, trained and tested on a diverse datasets of 600 patients, achieved superior performance to GAN-based models even with low computational complexity.

• Journal of the Computational Structural Engineering Institute of Korea
• /
• v.29 no.5
• /
• pp.405-411
• /
• 2016

This paper presented the theory related to a two dimensional linear cross-sectional analysis, recovery relationship and a one-dimensional nonlinear beam analysis for composite beam with initial twist and high aspect ratio. Using VABS including related theory, preceding research data of the composite wing structure has been modeled and compared. Cross-sectional analysis was performed and 1-D beam was modeled at cutting point including all the details of real geometry and material. The 3-D strain distribution and margin of safety at recovery point was calculated based on the global behavior of the 1-D beam analysis and visualize numerical results.

• Korea Information Processing Society Review
• /
• v.15 no.3
• /
• pp.41-48
• /
• 2008

• The Journal of the Korea Contents Association
• /
• v.10 no.4
• /
• pp.66-75
• /
• 2010

In Augmented Reality, it needs restoration and tracking of a real-time scene structure for the augmented 3D model from input video or images. Most of the previous approaches construct accurate 3D models in advance and try to fit them in real-time. However, it is difficult to measure 3D model accurately and requires long pre-processing time to construct exact 3D model specifically. In this research, we suggest a real-time scene structure analysis method for the wide indoor mobile augmented reality, using only generic models without exact pre-constructed models. Our approach reduces cost and time by removing exact modeling process and demonstrates the method for restoration and tracking of the indoor repetitive scene structure such as corridors and stairways in different scales and details.

• Journal of the Institute of Electronics and Information Engineers
• /
• v.52 no.10
• /
• pp.118-128
• /
• 2015

Compressive sensing (CS) has to face with two challenges of computational complexity reconstruction and low coding efficiency. As a solution, this paper presents a novel spatially scalable Kronecker two layer compressive sensing framework which facilitates reconstruction up to three spatial resolutions as well as much improved CS coding performance. We propose a dual-resolution sensing matrix based on the quincunx sampling grid which is applied to the base layer. This sensing matrix can provide a fast-preview of low resolution image at encoder side which is utilized for predictive coding. The enhancement layer is encoded as the residual measurement between the acquired measurement and predicted measurement data. The low resolution reconstruction is obtained from the base layer only while the high resolution image is jointly reconstructed using both two layers. Experimental results validate that the proposed scheme outperforms both conventional single layer and previous multi-resolution schemes especially at high bitrate like 2.0 bpp by 5.75dB and 5.05dB PSNR gain on average, respectively.

• Composites Research
• /
• v.28 no.4
• /
• pp.204-211
• /
• 2015

This paper presents a theory related to a two-dimensional linear cross-sectional analysis, recovery relationship and a one-dimensional nonlinear beam analysis for composite wing structure with initial twist. Using VABS including a related theory, the design process of the composite rotor blade has been described. Cross-sectional analysis was performed at cutting point including all the details of geometry and material. Stiffness matrix and mass matrix were linked to each section to make 1D beam model. The 3D strain distributions within the structure were recovered based on the global behavior of the 1D beam analysis and visualize numerical results.

• Journal of the Institute of Electronics Engineers of Korea TE
• /
• v.42 no.1
• /
• pp.21-28
• /
• 2005

In this paper, we studied resolution to the FBP(Filtered Back-Propagation) tomographic image reconstruction algorithms. In order to analyze the resolution to the tomographic images, we derived ambiguity function to this algorithm which can be reconstructed from the improved FBP image reconstruction algorithm by using fixed coordinate system practically. Through simulation using this function, we determined the lateral and depth resolution quantitively and then analyzed respectively. Simulation results show that the lateral and depth resolution to the improved FBP image reconstruction algerian was determined $0.27\lambda\;and\;0.70\lambda$ at the 3dB, and also $0.89\lambda\;and\;0.96\lambda$ at the 6dB respectively. This results proved that improved FBP reconstruction algorithms for diffraction tomography of incident planar wave is useful to developed the tomographic image system, analyze the resolution to the tomographic images, we derived ambiguity function to this algerian which can be reconstructed from the improved FBP image reconstruction algorithm by using fixed coordinate system.

• Journal of the Korea Computer Graphics Society
• /
• v.8 no.4
• /
• pp.1-7
• /
• 2002

This paper presents a new approach for modeling human limbs shape from 3D scan data. Based on the cylindrical structure of limbs, the overall shape is approximated with a set of ellipsoids through ellipsoid fitting and interpolation of fit-ellipsoids. Then, the smooth domain surface representing the coarse shape is generated as the envelope surface of ellipsoidal sweep, and the fine details are reconstructed by constructing parametric displacement function on the domain surface. For fast calculation, the envelope surface is approximated with ellipse sweep surface, and points on the reconstructed surface are mapped onto the corresponding ellipsoid. We demonstrate the effectiveness of our approach for skeleton-driven body deformation.

• Proceedings of the Korea Water Resources Association Conference
• /
• 2019.05a
• /
• pp.107-107
• /
• 2019

하천은 과거부터 현재까지 인간의 삶에 있어서 중요한 공간이며 환경적, 생태적으로도 중요한 가치를 지니고 있다. 특히, 하천은 물과 흙으로 이루어져 있기 때문에 수생물이 살아갈 수 있는 독특한 생태 서식처 공간을 제공한다. 국내에서는 1980년대 말부터 하천환경의 개선 및 복원에 대해 관심과 인식을 높이고 공감대를 형성하여 훼손된 하천을 원래 모습으로 되돌리는 사업을 수행하였다. 이러한 하천복원사업이 하천에 서식하는 수생물의 어떠한 영향을 주는지 분석하기 위해 최근에는 다양한 물리서식처 분석이 수행되고 이를 통해 각종 복원계획을 수립하고 있다. 하천복원사업을 통한 생태유량 재산정, 보 철거의 영향, 다양한 복원기법을 통한 수생물에 미치는 영향 파악 등을 들 수 있다. 그러나 이러한 기존 연구들은 하천복원사업으로 인한 수리특성과 수생 서식처의 변화를 살펴보는 간접적인 영향에 대한 내용이었다. 그러나 직접적으로 영향을 미치는 하도의 단면을 재설계하고 다양한 복원기법을 적용하여 그 영향을 파악하는 연구도 수행되어야 할 것으로 판단된다. 본 연구는 수리학적으로 유리한 저수로 물길 조성 및 다양한 저수로 조성기법의 적용을 통해 우점종의 서식처에 미치는 영향에 대해 원주천을 대상으로 물리서식처 분석을 수행하였다. 대상구간은 원주천 중 상류에 위치한 900 m 구간으로, 대상 어종은 원주천의 중 상류에 서식하는 우점종인 참갈겨니를 목표로 하였다. 수리분석과 서식처분석은 각각 River2D 모형과 서식처 적합도 모형을 사용하였다. 서식처 적합도 모형에 사용된 서식처 적합도 곡선은 Gosse (1982)의 방법을 이용하여 구축하였으며, 수심, 유속, 기층을 모두 고려하여 물리 서식처 분석을 수행하였다. 저수로 물길 복원 조성을 위하여 수리학적으로 유리한 저수로 단면으로의 복원 및 거석, 여울/소 구조, 단면의 확폭을 통해 기존 자연형 하천과는 다른 복원을 조성하였다. 수리학적으로 유리한 저수로 물길 복원을 조성한 결과를 이용하여 물리서식처 분석을 수행하였을 때, 기존 자연하천인 현상태 대비 약 37% 가중가용면적이 악화되는 것으로 나타났다. 그러나 수리학적으로 유리한 저수로 단면의 설계 조건에서 거석, 여울/소 구조 및 단면의 확폭의 복원을 수행하였을 때 서식처가 최소 약 3%에서 최대 21%까지 가중가용면적이 향상되었다.