• Title/Summary/Keyword: 3D 파노라마

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Development of High Dynamic Range Panorama Environment Map Production System Using General-Purpose Digital Cameras (범용 디지털 카메라를 이용한 HDR 파노라마 환경 맵 제작 시스템 개발)

  • Park, Eun-Hea;Hwang, Gyu-Hyun;Park, Sang-Hun
    • Journal of the Korea Computer Graphics Society
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    • v.18 no.2
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    • pp.1-8
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    • 2012
  • High dynamic range (HDR) images represent a far wider numerical range of exposures than common digital images. Thus it can accurately store intensity levels of light found in the specific scenes generated by light sources in the real world. Although a kind of professional HDR cameras which support fast accurate capturing has been developed, high costs prevent from employing those in general working environments. The common method to produce a HDR image with lower cost is to take a set of photos of the target scene with a range of exposures by general purpose cameras, and then to transform them into a HDR image by commercial softwares. However, the method needs complicate and accurate camera calibration processes. Furthermore, creating HDR environment maps which are used to produce high quality imaging contents includes delicate time-consuming manual processes. In this paper, we present an automatic HDR panorama environment map generating system which was constructed to make the complicated jobs of taking pictures easier. And we show that our system can be effectively applicable to photo-realistic compositing tasks which combine 3D graphic models with a 2D background scene using image-based lighting techniques.

Mosaic based representations of video sequences using Mellin transform (Mellin 변환을 이용한 동영상 시퀀스의 모자이크 기반 표현)

  • 장영준;하경민;박준희;이병욱;최윤식
    • Proceedings of the IEEK Conference
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    • 2001.09a
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    • pp.739-742
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    • 2001
  • 동영상은 각 프레임 사이에 시간적으로나 공간적으로 많은 양의 정보가 중복되어 있다. 이러한 중복 정보를 줄이는 표현 방법들 중에 하나로, 동영상을 커다란 하나의 영상으로 정합하여 중복 정보를 줄이는 모자이크 기법이 있다. 두 개 이상의 영상을 정합하기 위해서는 영상간의 카메라 파라미터가 필요한데, 본 논문에서는 Mellin 변환을 사용하여 카메라 파라미터를 구하였다. 이때 3차원 공간모델은 직교 투사법을 사용하였으며, 영상의 움직임 모델로는 4개의 파라미터(평행이동, 확대/축소, 회전)를 사용한 어파인 움직임 모델을 사용하였다. 이렇게 구현된 파노라마 영상은 동영상에서 움직이는 물체를 검출하거나 추적하고, 동영상을 편집하는데 응용될 수 있다. 또한 본 연구의 최종 목적인 3D 영상의 배경을 구현하는 데 좀 더 사실적인 영상을 제공할 수 있다.

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A Study of UHD Sound for Future TV Broadcasting (차세대 TV 방송을 위한 UHD 오디오 기술 개발)

  • Jang, Daeyoung;Seo, Jeongil;Yoo, Jae-hyoun;Park, Tae-jin;Lee, Taejin
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2014.11a
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    • pp.186-189
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    • 2014
  • 그 동안 오디오 기술은 채널 개수, 해상도, 매체의 특징에 따라 구분되어 발전해 왔다. 그러나 채널 개수에 있어서는 5.1 채널을 정점으로 가정에서의 설치 및 유지의 어려움으로 인해 시장에서의 고전을 면치 못하고 있다. 최근 영화 사운드 시장에서 돌비 ATMOS, IOSONO, AURO3D 등 잇단 객체기반 오디오 기술이 도입되면서, 방송 오디오 시장에서도 도입이 검토되고 있는 실정이다. 이러한 오디오 기술의 변화는 유연성이 결여된 채널기반 오디오의 기술 발전 및 시장 성장의 활로를 개척하는 기회가 될 것으로 전망된다. 따라서, 본 논문에서는 UHDTV, 무안경 3DTV, 파노라마 영상, 홀로그램 영상 등 차세대 TV 방송 매체에 활용할 수 있는 UHD 오디오 기술의 콘텐츠 포맷 및 재현 기술에 대해서 논하고 향후 전망을 고찰해 보고자 한다.

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3D-Based Monitoring System and Cloud Computing for Panoramic Video Service (3차원 기반의 모니터링 시스템과 클라우드 컴퓨팅을 이용한 파노라믹 비디오 서비스)

  • Cho, Yongwoo;Seok, Joo Myoung;Suh, Doug Young
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.39B no.9
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    • pp.590-597
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    • 2014
  • This paper proposes multi-camera system that relies on 3D views for panoramic video and distribution method about panoramic video generation algorithm by using cloud computing. The proposed monitoring system monitors the projected 3D model view, instead of individual 2D views, to detect image distortions. This can minimize compensation errors caused by parallax, thereby improving the quality of the resulting panoramic video. Panoramic video generation algorithm can be divided into registration part and compositing part. Therefore we propose off-loading method of these parts with cloud computing for panoramic video service.

360 RGBD Image Synthesis from a Sparse Set of Images with Narrow Field-of-View (소수의 협소화각 RGBD 영상으로부터 360 RGBD 영상 합성)

  • Kim, Soojie;Park, In Kyu
    • Journal of Broadcast Engineering
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    • v.27 no.4
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    • pp.487-498
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    • 2022
  • Depth map is an image that contains distance information in 3D space on a 2D plane and is used in various 3D vision tasks. Many existing depth estimation studies mainly use narrow FoV images, in which a significant portion of the entire scene is lost. In this paper, we propose a technique for generating 360° omnidirectional RGBD images from a sparse set of narrow FoV images. The proposed generative adversarial network based image generation model estimates the relative FoV for the entire panoramic image from a small number of non-overlapping images and produces a 360° RGB and depth image simultaneously. In addition, it shows improved performance by configuring a network reflecting the spherical characteristics of the 360° image.

Correction of Geometric Distortion of Internet Aerial Imagery and Photo-Realistic 3D Building Modeling (인터넷 항공영상의 왜곡보정과 실감적 3차원 건물 모델링)

  • Lee, Dong-Cheon
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.29 no.6
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    • pp.687-695
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    • 2011
  • Many internet portals provide maps with spatial information services. Recently, various images including aerial, satellite, street view, and photo-realistic 3D city models are provided as well as maps. This study suggested a method for geometric correction of the panoramic aerial images in the internet portal and 3D building modeling using information which is available in the internet. The key of this study is to obtain all necessary data easily from internet without restrictions. Practically, the ground control coordinates could be available from geo-referenced internet maps, and stereo pairs of the aerial images and close-range photographs for photo-realistic object modeling are provided by the internet service. However, the ground control points are not suitable for accurate mapping. RMSE of the plotting was about 9 meters and reduced upto 4 meters after coordinate transformation. The proposed methods would be applicable to various applications of photo-realistic object modeling which do not require high accuracy.

Multiple Camera Calibration for Panoramic 3D Virtual Environment (파노라믹 3D가상 환경 생성을 위한 다수의 카메라 캘리브레이션)

  • 김세환;김기영;우운택
    • Journal of the Institute of Electronics Engineers of Korea CI
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    • v.41 no.2
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    • pp.137-148
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    • 2004
  • In this paper, we propose a new camera calibration method for rotating multi-view cameras to generate image-based panoramic 3D Virtual Environment. Since calibration accuracy worsens with an increase in distance between camera and calibration pattern, conventional camera calibration algorithms are not proper for panoramic 3D VE generation. To remedy the problem, a geometric relationship among all lenses of a multi-view camera is used for intra-camera calibration. Another geometric relationship among multiple cameras is used for inter-camera calibration. First camera parameters for all lenses of each multi-view camera we obtained by applying Tsai's algorithm. In intra-camera calibration, the extrinsic parameters are compensated by iteratively reducing discrepancy between estimated and actual distances. Estimated distances are calculated using extrinsic parameters for every lens. Inter-camera calibration arranges multiple cameras in a geometric relationship. It exploits Iterative Closet Point (ICP) algorithm using back-projected 3D point clouds. Finally, by repeatedly applying intra/inter-camera calibration to all lenses of rotating multi-view cameras, we can obtain improved extrinsic parameters at every rotated position for a middle-range distance. Consequently, the proposed method can be applied to stitching of 3D point cloud for panoramic 3D VE generation. Moreover, it may be adopted in various 3D AR applications.

3D Ultrasound Panoramic Image Reconstruction using Deep Learning (딥러닝을 활용한 3차원 초음파 파노라마 영상 복원)

  • SiYeoul Lee;Seonho Kim;Dongeon Lee;ChunSu Park;MinWoo Kim
    • Journal of Biomedical Engineering Research
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    • v.44 no.4
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    • pp.255-263
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    • 2023
  • Clinical ultrasound (US) is a widely used imaging modality with various clinical applications. However, capturing a large field of view often requires specialized transducers which have limitations for specific clinical scenarios. Panoramic imaging offers an alternative approach by sequentially aligning image sections acquired from freehand sweeps using a standard transducer. To reconstruct a 3D volume from these 2D sections, an external device can be employed to track the transducer's motion accurately. However, the presence of optical or electrical interferences in a clinical setting often leads to incorrect measurements from such sensors. In this paper, we propose a deep learning (DL) framework that enables the prediction of scan trajectories using only US data, eliminating the need for an external tracking device. Our approach incorporates diverse data types, including correlation volume, optical flow, B-mode images, and rawer data (IQ data). We develop a DL network capable of effectively handling these data types and introduce an attention technique to emphasize crucial local areas for precise trajectory prediction. Through extensive experimentation, we demonstrate the superiority of our proposed method over other DL-based approaches in terms of long trajectory prediction performance. Our findings highlight the potential of employing DL techniques for trajectory estimation in clinical ultrasound, offering a promising alternative for panoramic imaging.

Correlation of Left Mandibular Third Molar Development and Chronological Age (하악 좌측 제3대구치 발육과 연령 사이의 연관성)

  • Song, Min Sun;Kang, Chung-Min;Song, Je Seon;Choi, Hyung-Jun;Kim, Seong-Oh
    • Journal of the korean academy of Pediatric Dentistry
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    • v.49 no.1
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    • pp.35-44
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    • 2022
  • The aim of this study is to evaluate the development of the left mandibular third-molar development with modified Demirjian method and its relation to chronological age. A total of 1653 digital panoramic radiographs of healthy individuals aged between 7 and 23 years who visited Yonsei University Dental hospital were selected. The developmental status of the left mandibular third molars was assessed using dental maturity scoring proposed by Demirjian et al. The mean age of the first appearance of mineralization, complete crown formation, and complete root formation were around 9, 14, 21 years respectively. Statistically significant differences between males and females in the development stage of D and G were revealed that crown formation and root length completion were attained earlier in males than in females. There was significant positive relationship between age and third molar development in both sexes, and new formula was presented to estimate age of children and adolescents based on their developmental stages of third molars. In this study, the use of left mandibular third molar as a developmental marker is appropriate, and age estimation can be attained with dental maturity stage.

DIAGNOSIS AND EXTRACTION OF IMPACTED SUPERNUMERARY TEETH IN THE MAXILLA WITH 3D DENIAL-CT (3D Dental-CT를 이용한 상악 매복 과잉치의 진단 : 증례보고)

  • Kim, Su-Kyoung;Yang, Yeon-Mi;Baik, Byeong-Ju;Kim, Sung-Hee;Kim, Jae-Gon
    • Journal of the korean academy of Pediatric Dentistry
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    • v.33 no.1
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    • pp.91-98
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    • 2006
  • Supernumerary teeth are teeth which result from the continued budding of the enamel organ of the preceding tooth or from excessive proliferation of cells. They are most often found in the maxillary anterior region. And they can be responsible for a variey of irregularities in the primary and transitional dentition. There are two morphological types of supernumerary teeth, supplemental and rudimentary. Supplemental teeth have normal shape and size. In contrast, rudimental teeth have abnormal shape and smaller size. Supplemental supernumerary teeth are most common in permanent lateral incisor area. Its extraction must be decided more carefully with differential diagnosis between normal teeth, because it has normal shape and size. We reports 3 cases of the normal incisor shaped teeth in the maxillary anterior region. In all cases, we used the 3D Dental-CT as well as the conventional plain film such as periapical, occlusal, and panoramic radiograph. Consequently, 3B Dental-CT was valualble to figure out the exact position and morphology of supernumerary teeth, to do more conservative surgery and to reduce surgery stress and time.

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