• Proceedings of the KAIS Fall Conference
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• 2007.11a
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• pp.215-217
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• 2007

본 논문에서는 자동 촬영 파노라마 생성 방법을 제안한다. 기존에는 두 장의 파노라마 멤버들을 수동으로 촬영하여 파노라마 영상을 만드는 반면, 제안한 방법은 이동되는 카메라에서 파노라마 멤버들을 자동으로 촬영하여 파노라마 영상을 생성한다. 파노라마 멤버들은 카메라로부터 들어오는 영상 스트림에서 추적 영역을 자동으로 추적하여 촬영된다. 촬영된 멤버들은 추적 영역을 포함하는 정합 영역에 대해 불변 특징 방법을 적용한다. 이 방법은 파노라마 멤버들을 자동으로 촬영할 수 있고 파노라마 생성 속도가 빠른 장점이 있다. 실험에서 $320{\times}240$ 크기의 칼라 영상에 대해 제안한 방법의 처리 시간이 약 0.89초로 기존의 특징 기반 방법[2]에 비해 처리 속도가 약 2배 빠른 결과를 보였다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.8 no.6
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• pp.1524-1529
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• 2007

In this paper, automatic shot panorama construction method is presented. For construction of panorama image, conventional panoramic techniques manually took two panorama members, but the proposed method automatically takes panorama members according to moving camera and constructs panorama image. The panorama members are automatically selected and taken by tracking region over image stream form camera. Matching region for panorama including the tracking region in the members is selected and applied by invariant feature panoramic method. Our method can automatically shot panorama members and has merit of high processing speed. In the experiments, it was shown that the algorithm required about 0.89 second in processing time, about two times shorter than existing invariant feature based one(6), for color images of $320{\times}240$ size.

• Journal of radiological science and technology
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• v.33 no.1
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• pp.1-10
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• 2010

Dental panoramic radiography is an imaging technique which shows the information of teeth, jaws and superficial structures on a single image. In this study, we propose the clinical dose reference for dental panoramic radiography. Dental panoramic radiography is an application which can increase the radiation does of oral cavity. It is very important to study the real condition of management for these panoramic X-ray equipments. Since there was no researches on dental panoramic equipments in domestic and foreign study groups, we measured and analyzed the dose such as effective dose, DAP and DWP of panoramic radiography.

• Journal of the Korea Computer Graphics Society
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• v.26 no.3
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• pp.61-68
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• 2020

In this paper, we propose a deep learning framework for predicting a depth map of a 360° panorama image. Previous works use synthetic 360° panorama datasets to train networks due to the lack of realistic datasets. However, the synthetic nature of the datasets induces features extracted by the networks to differ from those of real 360° panorama images, which inevitably leads previous methods to fail in depth prediction of real 360° panorama images. To address this gap, we use domain adaptation to learn features shared by real and synthetic panorama images. Experimental results show that our approach can greatly improve the accuracy of depth estimation on real panorama images while achieving the state-of-the-art performance on synthetic images.

• The Journal of the Korea Contents Association
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• v.10 no.12
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• pp.18-26
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• 2010

In this paper, we propose a method for generating a realistic object panorama by considering geometric transformations of camera views in a general photographing environment. In the proposed method, we first model a trumpet-shape panorama space based on geometric transformations of camera, such as vertical rotation and horizontal rotation movement around a target model. We then generate an object panorama by mapping model images to the trumpet-shape panorama space. To evaluate the performance of the proposed method, experiments were conducted on a large size model, which is quite difficult for us to generate the object panorama without special equipments in general. The experimental results show that the proposed method can effectively generate an object panorama, which is usually generated in a special photographing environment, regardless of the size of target model.

• Proceedings of the Korean Society of Computer Information Conference
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• 2012.07a
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• pp.17-18
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• 2012

본 논문에서는 대상이 되는 문화재를 파노라마로 촬영하고, 촬영된 파노라마 사진을 equirectangular 형태로 정합하여 3D studio max에서 가상의 공간에 mapping시키고, mqo포맷으로 출력한다. 안드로이드 OpenGL에서 출력된 mqo포맷을 불러와 GUI button을 활용하여 파노라마 가상현실 기술을 구현하는 방법을 설명한다.

• Journal of the Korean Society of Radiology
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• v.7 no.4
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• pp.301-305
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• 2013

This thesis intends to analyze tooth distortion by mandibular arch form by reproducing existing panorama image and reconstructed panorama image of Cone Beam CT data with the three-dimensional computer program. The diameter of tooth measured in Cone Beam CT's cross-section image and reconstructed panorama was synchronized without any big change from incisors to posteriors. But, panorama showed serious distortion as going to posteriors after showing a little distortion in incisors. The panorama reconstructed for patients' individual arch showed reduced distortion than panoramas used generally. In addition, panorama showed serious distortion from incisors to posteriors and it means that distortion is reduced in reconstructed panorama.

• Journal of the korean academy of Pediatric Dentistry
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• v.39 no.3
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• pp.273-279
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• 2012

Purpose : This study was aimed to calculate effective dose from cone beam CT and compare effective dose from periapical and panoramic radiography for mesiodens. Materials and Methods : Upper anteiror periapical, panoramic radiography and cone-beam CT were taken for diagnosis of mesiodens. The effective dose were calculated by using an anthropomorphic phantom loaded with thermoluminescent dosimeters at the 23 sites related to sensitive organs. Results : The highest absorbed doses were received by the mandibular body, parotid gland and cheek from periapical, panoramic and cone-beam CT, respectively. The effective doses for periapical, panoramic radiography and cone-beam CT measured 2, 18 and 48 ${\mu}Sv$. Conclusion : Cone-beam CT, although providing additional diagnostic benefits, exposes patients to higher levels of radiation than conventional periapical and panoramic radiography.

• Proceedings of the Korean Information Science Society Conference
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• 2001.04b
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• pp.622-624
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• 2001

영상기반 렌더링(image-based rendering) 기법은 전통적인 컴퓨터 그래픽 기법과는 다르게 장면 생성 시 복잡한 3차원 정보들을 2차원 영상들의 조합으로 표현하여 렌더링 하는 방법이다. 그 중에서 원통맵을 이용한 렌더링은 파노라마 영상을 이요해 관찰자에게 보다 빠르게 실시간으로 장면을 렌더링하여 보여준다. 이러한 영상기반 렌더링에서도 ㅅㄹ제감을 보다 더 높이기 위해서는 빛과 빛에 의해 생기는 그림자, 하이라이트의 역할이 매우 중요하다. 하지만 파노라마 영상의 경우 미리 촬영된 영상들을 사용하므로 실시간으로 동적인 광원의 변화와 그로인한 그림자와 하이라이트 부분을 표현하기 위해서는 변화된 영상들을 재촬영하여 새로운 파노라마 영상을 제작해야 한다. 본 논문에서는 OpenGL을 이용하여 실내 공간을 표현한 원통 영상 기반 환경 맵에서 광원의 위치변화에 의해 가상 하이라이트 (virtual highlight)의 움직임을 파노라마 이미지의 재 촬영 없이 몇 가지 기하학 정보만으로 계산하여 표현해 주는 방법을 제안한다.

• Journal of Korean Academy of Oral and Maxillofacial Radiology
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• v.24 no.2
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• pp.317-326
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• 1994

Panoramic radiographs of a dry skull were used to evaluate the accuracy of four panoramic dental X-ray systems in determining tooth angulations in the buccal segments. The four machines evaluated were the Philips Oralix Pan DC, the GE panelipse, the SS White panorex 1, and the SS White Panorex 2. Panoramic radiographs were taken at six different patient positions for each machine to evaluate the effects of patient positioning on determining tooth angulations in the buccal segments. All of the machines studied showed a significant correlation between the mean radiographic estimates and the actual measurements regardless of positioning(p<0.05). With correct placement of the skull, the results were analyzed for an error tolerance of +/-3/sup 0/ between the actual measurements and the radiographic estimates for tooth angulation. The SS White Panorex 1 was accurate 74% of the time, the GE Panelipse was accurate 67% of the time, the Philips Oralix Pan DC and the SS White Panorex 2 were accurate 64% of the time. When an error tolerance of +/-5/sup 0/ was permitted, the accuracy was 89% for the SS White Panorex 1 and the GE Panelipse, 85% for the Philips Oralix Pan DC, and 81% for the SS White Panorex 2.