• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2001.10a
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• pp.177-180
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• 2001

Virtual Reality technology is divided two parts Panorama technology to imbody VR on space and Object technology to embody VR of things. About Object VR technology until present, they provided a cube access way, then observer can see object up, down, left, right side and zoom-in, zoom-out, but there is a fact that up-and-down expression is distorted or shows shortcoming that is not expressed by limited situation of manufacture way in Panorama VR's expression. Therefore, in this research, we examine the shortcoming that do not become top-and-bottom expression through basic concept of Panorama and Panorama VR manufacture process and do to propose cube type of new data format that permit up-and-down expression as a real world and compose Panorama VR space.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.5 no.6
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• pp.1110-1115
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• 2001

Virtual Reality technology is divided two parts Panorama technology to embody VR on space and Object technology to embody VR of things. About Object VR technology until present, they provided a cube access way, then observer can see object up, down, left, right side and zoom-in, zoom-out, but there is a fact that up-and-down expression is distorted or shows shortcoming that is not expressed by limited situation of manufacture way in Panorama VR's expression. Therefore, in this research, we examine the shortcoming that do not become top-and-bottom expression through basic concept of Panorama and Panorama VR manufacture process and do to propose cube type of new data format that permit up-and-down expression as a real world and compose Panorama VR space.

• 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 Institute of Information and Commucation Sciences Conference
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• 2001.10a
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• pp.173-176
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• 2001

In this study, we designed a virtual gallery using VRML authoring tool. With this system, we expect to provide a realistic and interactive environment where students can appreciate artistic work in their learning processes. Our system is implemented with several methods such as panorama images and 3D object modules with Photo Vista, Object Modeler and Reality Studio. We currently investigate how this virtual gallery can affect students aesthetic aspects with the intended realistic appreciation In their art education processes. In the following section, we describes how we implemented our virtual gallery with vrml authoring tools.

• Journal of Korea Multimedia Society
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• v.5 no.6
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• pp.655-664
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• 2002

In this paper, we implemented a web-based 3D virtual pottery gallery Using VR authoring tools. With this system, we expect to cause learning motives and Provide more realistic and interactive learning space. Out system was implemented by making panorama images and 3D object modules using Photo Vista. Object Modeler and Reality Studio. Users can connect to this web site(http://artstory.x-y.net), rotate a pottery panoramically, and zoom it in or out. We designed this virtual gallery can have beneficial influence on students' aesthetic aspects through realistic work appreciations in their art education processes.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.45 no.3
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• pp.55-63
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• 2008

This paper presents a panorama background generation and object tracking technique using a Pan-Tilt-Zoom camera. The proposed method estimates local motion vectors rapidly using phase correlation matching at the prespecified multiple local regions, and it makes minimized estimation error by vector quantization. We obtain the required image patches, by estimating the overlapped region using local motion vectors, we can then project the images to cylinder and realign the images to make the panoramic image. The object tracking is performed by extracting object's motion and by separating foreground from input image using background subtraction. The proposed PTZ-based object tracking method can efficiently generated a stable panorama background, which covers up to 360 degree FOV The proposed algorithm is designed for real-time implementation and it can be applied to many commercial applications such as object shape detection and face recognition in various surveillance video systems.

• Journal of the Korea Society of Computer and Information
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• v.13 no.6
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• pp.1-12
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• 2008

This paper presents automatic moving object detection method using the rotating camera covering larger area with a single camera. The proposed method is based on the edge segment matching which robust to the dynamic environment with illumination change and background movement. The proposed algorithm presents an edge segment based background panorama image generation method minimizing the distortion due to image stitching, the background image generation method using Generalized Hough Transformation which can reliably register the current image to the panorama image overcoming the stitching distortions, the moving edge segment extraction method that overcome viewpoint difference and distortion. The experimental results show that the proposed method can detect correctly moving object under illumination change and camera vibration.

• Journal of Korea Multimedia Society
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• v.21 no.2
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• pp.289-299
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• 2018

The 360 degree panoramas are picture of a wide range of images on one screen, so we can see a fairly wide range at a time. In particular, cylinderical panoramas are the most widely used spherical image, and its left and right viewing angles reach 360 degree, so you can observe front, rear, left, and right at once. Using 360 degree panorama, all directions can be monitored at the same time, so all directions can be effectively monitored compared to other methods. In this paper, we develop a system to recognize and track the movement of moving objects on a 360 degree panorama, and then present and verify the experimental results. For this goals, first, we developed a system to recognize moving objects in 360 degree panorama using DoF(Difference of Frame) algorithm. Second, based on the TLD algorithm, we developed an application that can track a specific single moving object in a 360 degree panorama and presented the experimental results.

• Journal of information and communication convergence engineering
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• v.9 no.6
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• pp.780-784
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• 2011

As the popularization and development of 3D display makes common users easy to experience a solid 3D virtual reality, the demand for virtual reality contents are increasing. In this paper, we propose 3D panorama system using vanishing point locationbased depth map generation method. 3D panorama using depthmap stitching gives an effect that makes users feel staying at real place and looking around nearby circumstances. Also, 3D panorama gives free sight point for both nearby object and remote one and provides solid 3D video.

• Journal of Broadcast Engineering
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• v.25 no.6
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• pp.882-897
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• 2020

Recently, the use of immersive media contents representing Panorama and 360° video is increasing. Since the viewing angle is limited to generate the content through a general camera, image stitching is mainly used to combine images taken with multiple cameras into one image having a wide field of view. However, if the parallax between the cameras is large, parallax distortion may occur in the stitched image, which disturbs the user's content immersion, thus an image stitching overcoming parallax distortion is required. The existing Seam Optimization based image stitching method to overcome parallax distortion uses energy function or object segment information to reflect the location information of objects, but the initial seam generation location, background information, performance of the object detector, and placement of objects may limit application. Therefore, in this paper, we propose an image stitching method that can overcome the limitations of the existing method by adding a weight value set differently according to the type of object to the energy value using object detection based on deep learning.