• Smart Media Journal
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• v.1 no.3
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• pp.36-42
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• 2012

Recently, the smart applications, such as smart phone and smart TV, become a hot issue in IT consumer markets. In particular, the smart TV provides 3D video services, hence efficient coding methods for 3D video data are required. Three-dimensional (3D) video involves stereoscopic or multi-view images to provide depth experience through 3D display systems. Binocular cues are perceived by rendering proper viewpoint images obtained at slightly different view angles. Since the number of viewpoints of the multi-view video is limited, 3D display devices should generate arbitrary viewpoint images using available adjacent view images. In this paper, after we explain a view synthesis method briefly, we propose a new algorithm to compensate view synthesis errors around object boundaries. We describe a 3D warping technique exploiting the depth map for viewpoint shifting and a hole filling method using multi-view images. Then, we propose an algorithm to remove boundary noises that are generated due to mismatches of object edges in the color and depth images. The proposed method reduces annoying boundary noises near object edges by replacing erroneous textures with alternative textures from the other reference image. Using the proposed method, we can generate perceptually inproved images for 3D video systems.

• Journal of The Korean Digital Architecture Interior Association
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• v.5 no.2
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• pp.9-14
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• 2005

The analysis system has been needed to pre-evaluate and analyze the right for sunlight and the right for view in a residential environment since the urban high density and high rise residentinal building types have been prevailing these days. The purpose of this study is to propose an digital analysis method to evaluate sunlight and view conditions in a residential environment to improve the system performance in the sense of speed and accuracy. The digital analysis method using the object-oriented 3D CAD system and parametric library is studied and applied in the system and the various outputs of the analysis system makes possible to modify the design with the speed and accuracy as a result of the analysis. The study includes the evaluation for a daylight and view condition of each unit, and the interruption degree to a vicinity environment in terms of sunlight and view conditions comparing before and after construction.

• Journal of information and communication convergence engineering
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• v.17 no.1
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• pp.60-66
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• 2019

In this paper, we propose a new free-view three-dimensional (3D) computational reconstruction of integral imaging to improve the visual quality of reconstructed 3D images when low-resolution elemental images are used. In a conventional free-view reconstruction, the visual quality of the reconstructed 3D images is insufficient to provide 3D information to applications because of the shift and sum process. In addition, its processing speed is slow. To solve these problems, our proposed method uses a pixel rearrangement technique (PERT) with locally selective elemental images. In general, PERT can reconstruct 3D images with a high visual quality at a fast processing speed. However, PERT cannot provide a free-view reconstruction. Therefore, using our proposed method, free-view reconstructed 3D images with high visual qualities can be generated when low-resolution elemental images are used. To show the feasibility of our proposed method, we applied it to optical experiments.

• International Journal of Contents
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• v.9 no.1
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• pp.18-25
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• 2013

Recently, augmented reality has been proved immensely useful on a day to day basis when tied with location-based technology. In this paper, we present a new method for displaying augmented reality contents on mobile devices. We add 3D models on the view of the camera and use location-based services, motion sensors to calculate the transformation of models. Instead of remaining at a fixed position on camera view while moving around a 3D model, the model rotates on display in the opposite direction that the user is walking. We also design client as a ubiquitous client to reduce constraints on disk space and memory capacity on mobile devices. Implementation results show effective use in creating GPS-based 3D view augmented reality contents for Smart Mobile Devices.

• Journal of Convergence for Information Technology
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• v.8 no.6
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• pp.335-341
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• 2018

This paper is a study on map contents to be embedded in a new type of mobile device that combines 2D information and 3D information by combining 2D information with augmented reality technology. We also describe the planning and production of a 3D map application called 'NSU AR Map' using Unity3D engine to help understand this paper. 'NSU AR Map' is a map application that enables accurate identification of user's location and real-world view through 360 View. Based on the experience gained during the process of 3D map application, this paper will present how 3D technologies and augmented reality technologies are applied to new map applications and how they can be developed in the future.

• Proceedings of the IEEK Conference
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• 2005.11a
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• pp.549-552
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• 2005

This paper presents a 3D video content generation technique and system that uses the multi-view images and the depth map. The proposed uses 3-view video and depth inputs from the 3-view video camera and depth camera for the 3D video content production. Each camera is calibrated using Tsai's calibration method, and its parameters are used to rectify multi-view images for the multi-view stereo matching. The depth and disparity maps for the center-view are obtained from both the depth camera and the multi-view stereo matching technique. These two maps are fused to obtain more reliable depth map. Obtained depth map is not only used to insert a virtual object to the scene based on the depth key, but is also used to synthesize virtual viewpoint images. Some preliminary test results are given to show the functionality of the proposed technique.

• Journal of the Institute of Electronics and Information Engineers
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• v.49 no.11
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• pp.47-55
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• 2012

In this paper, we propose a method to reconstruct accurate 3D shape object by using multi-view images which are disturbed by motion blur. In multi-view deblurring, more precise PSF estimation can be done by using the geometric relationship between multi-view images. The proposed method first estimates initial 2D PSFs from individual input images. Then 3D PSF candidates are projected on the input images one by one to find the best one which are mostly consistent with the initial 2D PSFs. 3D PSF consists with direction and density and it represents the 3D trajectory of object motion. 야to restore 3D shape by using multi-view images computes the similarity map and estimates the position of 3D point. The estimated 3D PSF is again projected to input images and they replaces the intial 2D PSFs which are finally used in image deblurring. Experimental result shows that the quality of image deblurring and 3D reconstruction improves significantly compared with the result when the input images are independently deblurred.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.45 no.4
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• pp.22-31
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• 2008

In this paper, we propose a new approach for efficient multiview stereo matching and virtual view generation, which are key technologies for 3DTV. We propose semi N-view & N-depth framework to estimate disparity maps efficiently and correctly. This framework reduces the redundancy on disparity estimation by using the information of neighboring views. The proposed method provides a user 2D/3D freeview video, and the user can select 2D/3D modes of freeview video. Experimental results show that the proposed method yields the accurate disparity maps and the synthesized novel view is satisfactory enough to provide user seamless freeview videos.

• Journal of Multimedia Information System
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• v.9 no.3
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• pp.183-190
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• 2022

Image-based 3D object detection is one of the important and difficult problems in autonomous driving and robotics, and aims to find and represent the location, dimension and orientation of the object of interest. It generates three dimensional (3D) bounding boxes with only 2D images obtained from cameras, so there is no need for devices that provide accurate depth information such as LiDAR or Radar. Image-based methods can be divided into three main categories: monocular, stereo, and multi-view 3D object detection. In this paper, we investigate the recent state-of-the-art models of the above three categories. In the multi-view 3D object detection, which appeared together with the release of the new benchmark datasets, NuScenes and Waymo, we discuss the differences from the existing monocular and stereo methods. Also, we analyze their performance and discuss the advantages and disadvantages of them. Finally, we conclude the remaining challenges and a future direction in this field.

• Proceedings of the Korean Society of Computer Information Conference
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• 2023.01a
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• pp.83-84
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• 2023

2D 게임의 이미지들은 2D 스프라이트(Sprite) 조각들을 같은 평면에 겹쳐 그리는 방식으로 표현한다. 탑다운 뷰(Top-Down View) 2D 게임 시점은 평면의 그림에 입체적인 묘사를 함으로써 캐릭터나 오브젝트가 수직으로 일어서 있는듯한 3D 느낌을 전달한다. 그러나 실제로는 2D 평면이므로 3D 그림자 맵(Shadow Map) 방식을 사용할 수 없는 단점이 있다. 본 논문에서는 2D 스프라이트 오브젝트의 그림자를 3D 그림자맵으로 생성하는 방법과 동반되는 이슈들을 제시한다.