• 한국수학교육학회지시리즈A:수학교육
• /
• 제53권4호
• /
• pp.493-507
• /
• 2014

The purpose of this study is to analyze how high school students form and interpret the mental image in the process of solving regular polyhedron problems. For this purpose, a set of problems about the regular polyhedron's vertex is developed on the base of the regular polyhedron's duality and circulation. and applied to 2 students of the 12th graders in D high school. After 2 hours of teaching and learning and another 2 hours of mental image-analysis process, the following research findings are obtained. Fisrt, a student who recorded medium high-level grade in the national scholastic test can build the dynamic image or the patten image in the process of solving regular polyhedron's vertex problems by utilizing the 3D geometry program. However, the other student who recorded low-level grade can build the concrete-pictorial image. Second, pattern image or dynamic image can help students solve the regular polyhedron's vertex problems by proper transformation of informations and the mental images while the concrete-pictorial image does not help. Hence, it is recommended that the mathematics teachers should develop teaching and learning materials about the regular polyhedron's duality and circulation and also give students suitable questions to build the various mental images.

• 전기학회논문지
• /
• 제63권6호
• /
• pp.797-803
• /
• 2014

In this paper, 3D face recognition system is designed by using polynomial based on RBFNNs. In case of 2D face recognition, the recognition performance reduced by the external environmental factors such as illumination and facial pose. In order to compensate for these shortcomings of 2D face recognition, 3D face recognition. In the preprocessing part, according to the change of each position angle the obtained 3D face image shapes are changed into front image shapes through pose compensation. the depth data of face image shape by using Multiple Point Signature is extracted. Overall face depth information is obtained by using two or more reference points. The direct use of the extracted data an high-dimensional data leads to the deterioration of learning speed as well as recognition performance. We exploit principle component analysis(PCA) algorithm to conduct the dimension reduction of high-dimensional data. Parameter optimization is carried out with the aid of PSO for effective training and recognition. The proposed pattern classifier is experimented with and evaluated by using dataset obtained in IC & CI Lab.

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

• 대한방사선기술학회지:방사선기술과학
• /
• 제42권1호
• /
• pp.53-59
• /
• 2019

In the field of nuclear medicine, the various static phantoms of international standards are used to assess the performance of the nuclear medicine equipment. However, we only reproduced a fixed situation in spite of the movement of the cardiac, and the demands for dynamic situations have been continuously raised. More research is necessary to address these challenges. This study used flexible materials to design the dynamic cardiac phantom, taking into account the various clinical situations. It also intended to reproduce the images through dynamic cardiac flow to confirm the usefulness of the proposed technique. The frame of dynamic cardiac phantom was produced based on the international standard phantom. A nuclear medicine dynamic cardiac phantom was produced rubber material and silicone implemented by 3D printing technique to reproduce endocardium and epicardium movement. Therefore we compared and evaluated the image of a cardiac phantom made of rubber material and a cardiac phantom made of silicone material by 3D printing technique. According to the results of this study, the analysis of the Summed Rest Score(SRS) showed abnormalities in the image of a cardiac phantom made of rubber material at 10, 20, and 30 stroke rates, but the image of a cardiac phantom made of silicone material by 3D printing technique showed normal levels. And the analysis of the Total Perfusion Deficit(TPD) showed that TPD in the image of a cardiac phantom made of rubber material was higher than that of the image of a cardiac phantom made of silicone material by 3D printing technique at 10, 20, and 30 stroke rates. The potential for clinical application of the proposed method was confirmed in the dynamic cardiac phantom implemented with 3D printing technique. It is believed that the objective information secures the reliability of inspection equipment and it contributes to improve the diagnostic value of nuclear medicine.

• 전자통신동향분석
• /
• 제35권5호
• /
• pp.112-122
• /
• 2020

In 3D computer graphics, a depth map is an image that provides information related to the distance from the viewpoint to the subject's surface. Stereo sensors, depth cameras, and imaging systems using an active illumination system and a time-resolved detector can perform accurate depth measurements with their own light sources. The 3D image information obtained through the depth map is useful in 3D modeling, autonomous vehicle navigation, object recognition and remote gesture detection, resolution-enhanced medical images, aviation and defense technology, and robotics. In addition, the depth map information is important data used for extracting and restoring multi-view images, and extracting phase information required for digital hologram synthesis. This study is oriented toward a recent research trend in deep learning-based 3D data analysis methods and depth map information extraction technology using a convolutional neural network. Further, the study focuses on 3D image processing technology related to digital hologram and multi-view image extraction/reconstruction, which are becoming more popular as the computing power of hardware rapidly increases.

• 한국전자통신학회논문지
• /
• 제8권1호
• /
• pp.191-197
• /
• 2013

방사선과 의사들은 CT 및 MRI 스캐너로부터 얻어진 인체의 단면 영상을 연속적으로 보고 실제 3차원적으로 인체가 어떻게 구성되어 있는지를 상상하여 병변을 구별하는데, 의학영상을 이용한 인체 장기의 3차원 시각화는 2차원 형태의 인체 단면 영상들을 복잡한 알고리즘이나 고성능의 컴퓨팅 파워를 사용하여 실제 인체와 같이 3차원으로 재구성하여 보여준다. 단면 영상의 추적, 관심영역의 표시 및 추출등과 같은 2차원 영상분석은 시간이 많이 소모되고, 주관적일 수가 있으며, 수작업인 관계로 빈번한 에러가 발생하는 단점을 가지는데, 이와 같은 2차원 의료 영상 분석의 단점을 보완하기 위해 의학영상처리 기술과 접목한 3차원 의료 영상의 시각화는 필수적이라 할 수 있다. 명암값 임계치 방법, 영역확장(region growing) 방법, 윤곽선(contour) 추출 방법 및 변형모델(deformable model) 방법을 사용하여 인체의 각 장기를 분리하였으며, 텍스쳐분석(texture analysis)을 통하여 고안된 특징자를 이용하여 암 부분을 인식하는데 사용하였고, 원근투영(perspective projection) 및 볼륨 데이터의 표면을 렌더링하기 위해 마칭큐브(marching cube) 알고리즘을 사용하였다. 인체 및 분리된 장기에 대한 3차원 시각화는 방사선치료계획(radiation treatment planning), 외과 수술계획, 모의수술, 중재적(interventional)시술 및 영상유도수술(image guided surgery)에 효과적으로 사용될 수 있다.

• 한국의학물리학회:학술대회논문집
• /
• 한국의학물리학회 2002년도 Proceedings
• /
• pp.121-122
• /
• 2002

The main principle of radiation therapy is to deliver optimum dose to tumor to increase tumor cure probability while minimizing dose to critical normal structure to reduce complications. RTP system is required for proper dose plan in radiation therapy treatment. The main goal of this research is to develop dose model for photon, electron, and brachytherapy, and to display dose distribution on patient images with optimum process. The main items developed in this research includes: (l) user requirements and quality control; analysis of user requirement in RTP, networking between RTP and relevant equipment, quality control using phantom for clinical application (2) dose model in RTP; photon, electron, brachytherapy, modifying dose model (3) image processing and 3D visualization; 2D image processing, auto contouring, image reconstruction, 3D visualization (4) object modeling and graphic user interface; development of total software structure, step-by-step planning procedure, window design and user-interface. Our final product show strong capability for routine and advance RTP planning.

• 대한원격탐사학회지
• /
• 제35권6_1호
• /
• pp.959-971
• /
• 2019

대표적인 딥러닝(deep learning) 기법 중 하나인 Convolutional Neural Network(CNN)은 고수준의 공간-분광 특징을 추출할 수 있어 초분광 영상 분류(Hyperspectral Image Classification)에 적용하는 연구가 활발히 진행되고 있다. 그러나 초분광 영상은 높은 분광 차원이 학습 과정의 시간과 복잡도를 증가시킨다는 문제가 있어 이를 해결하기 위해 기존 딥러닝 기반 초분광 영상 분류 연구들에서는 차원축소의 목적으로 Principal Component Analysis (PCA)를 적용한 바 있다. PCA는 데이터를 독립적인 주성분의 축으로 변환시킬 수 있어 분광 차원을 효율적으로 압축할 수 있으나, 분광 정보의 손실을 초래할 수 있다. PCA의 사용 유무가 CNN 학습의 정확도와 시간에 영향을 미치는 것은 분명하지만 이를 분석한 연구가 부족하다. 본 연구의 목적은 PCA를 통한 분광 차원축소가 CNN에 미치는 영향을 정량적으로 분석하여 효율적인 초분광 영상 분류를 위한 적절한 PCA의 적용 방법을 제안하는 데에 있다. 이를 위해 PCA를 적용하여 초분광 영상을 축소시켰으며, 축소된 차원의 크기를 바꿔가며 CNN 모델에 적용하였다. 또한, 모델 내의 컨볼루션(convolution) 연산 방식에 따른 PCA의 민감도를 분석하기 위해 2D-CNN과 3D-CNN을 적용하여 비교 분석하였다. 실험결과는 분류정확도, 학습시간, 분산 비율, 학습 과정을 통해 분석되었다. 축소된 차원의 크기가 분산 비율이 99.7~8%인 주성분 개수일 때 가장 효율적이었으며, 3차원 커널 경우 2D-CNN과는 다르게 원 영상의 분류정확도가 PCA-CNN보다 더 높았으며, 이를 통해 PCA의 차원축소 효과가 3차원 커널에서 상대적으로 적은 것을 알 수 있었다.

• 반도체디스플레이기술학회지
• /
• 제12권2호
• /
• pp.27-32
• /
• 2013

Shape From Focus (SFF) is a passive optical technique to recover 3D structure of an object that utilizes focus information from 2D images of the object taken at different focus levels. Mostly, SFF methods use a single focus measure to compute image focus quality of each pixel in the image sequence. However, it is difficult to recover accurate 3D shape using a single focus measure, as different focus measures perform differently in diverse conditions. In this paper, a nonlinear Total Variation (TV) based approach is proposed for 3D shape recovery. To improve the result of surface reconstruction, several initial depth maps are obtained using different focus measures and the resultant 3D shape is obtained by diffusing them through TV. The proposed method is tested and evaluated by using image sequences of synthetic and real objects. The results and comparative analysis demonstrate the effectiveness of our method.

• Journal of the Korean Association of Oral and Maxillofacial Surgeons
• /
• 제34권6호
• /
• pp.622-627
• /
• 2008

In orthognathic surgery, precise analysis and diagnosis are essential for successful results. In facial asymmetric patient, traditional 2D image analysis has been used by lateral and P-A Cephalometric view, Skull PA, Panorama, Submentovertex view etc. But clinicians sometimes misdiagnose because they cannot find exact landmark due to superimposition, moreover image can be magnified and distorted by projection technique or patient's skull position, when using these analysis and method. For overcome these defects, analysis by using of 3D CT has been introduced. In this way we can analysis precisely by getting the exact image free of artifact and finding exact landmark with no interruption of superimposition. So we want to review of relationship between various skeletal landmarks of mandible or cranial base and facial asymmetry by predictable analysis using 3D CT. We select the cases of the patients who visited our department for correction of facial asymmetry during 2003-2007 and who were taken image of 3D CT for diagnosis. 3D CT images were reconstructed to 3D image by using V-Work program (Cybermed Inc., Seoul, Korea). And we analysis the relationship between facial asymmetry and various affecting factor of skeletal pattern. The mandibular ramus hight difference between right and left was most affecting factor that express facial asymmetry. And in this research, there was no relationship between cranial base and facial asymmetry. The angulation between facial midline and mandibular ramus divergency has significant relationship with facial asymmetry