• 반도체디스플레이기술학회지
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• 제15권4호
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• pp.103-106
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• 2016

3D technology is main factor in Augmented Reality. Depth map is essential to make cubic effect using 2d image. There are a lot of ways to construct Depth map. Among them, stereo matching is mainly used. This paper presents how to generate depth map using stereo matching. For stereo matching, existing Dynamic programming method is used. To make accurate stereo matching, High-Boost Filter is applied to preprocessing method. As a result, when depth map is generated, accuracy based on Ground Truth soared.

• 방송공학회논문지
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• 제15권2호
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• pp.232-235
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• 2010

본 논문에서는 깊이정보 맵의 효율적인 부호화 방법을 제안한다. 블록 기반 적응적 깊이정보 맵 부호화 방법에서는 깊이정보 맵에 대한 비트율 조절을 위해 양자화 변수를 이용하여 부호화할 비트평면의 수를 결정한다. 이러한 양자화 변수에 의한 제약 조건에서 벗어나서 부호화할 비트평면을 블록 단위에서 결정하는 방법을 제안한다. 실험 결과, 제안하는 방법이 블록 기반 적응적 깊이정보 맵 부호화 방법보다 BD-PSNR이 0.25 dB 향상되었고 BD-rate가 3.5% 감소되어 제안하는 방법의 우수함을 확인할 수 있었다.

• 제어로봇시스템학회논문지
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• 제22권12호
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• pp.1046-1052
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• 2016

For the safe driving of autonomous vehicles, accurate position estimation is required. Generally, position error must be less than 1m because of lane keeping. However, GPS positioning error is more than 1m. Therefore, we must correct this error and a map matching algorithm is generally used. Especially, road marking intensity map have been used in many studies. In previous work, 3D LIDAR with many vertical layers was used to generate a local intensity map. Because it can be obtained sufficient longitudinal information for map matching. However, it is expensive and sufficient road marking information cannot be obtained in rush hour situations. In this paper, we propose a localization algorithm using an accumulated intensity local map. An accumulated intensity local map can be generated with sufficient longitudinal information using 3D LIDAR with a few vertical layers. Using this algorithm, we can also obtain sufficient intensity information in rush hour situations. Thus, it is possible to increase the reliability of the map matching and get accurate position estimation result. In the experimental result, the lateral RMS position error is about 0.12m and the longitudinal RMS error is about 0.19m.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제8권9호
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• pp.3146-3158
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• 2014

Efficient depth map coding is very crucial to the multi-view plus depth (MVD) format of 3-D video representation, as the quality of the synthesized virtual views highly depends on the accuracy of the depth map. Depth map contains smooth area within an object but distinct boundary, and these boundary areas affect the visual quality of synthesized views significantly. In this paper, we characterize the depth map by an auto-covariance analysis to show the locally anisotropic features of depth map. According to the characterization analysis, we propose an efficient depth map coding scheme, in which the directional discrete cosine transforms (DDCT) is adopted to substitute the conventional 2-D DCT to preserve the boundary information and thereby increase the quality of synthesized view. Experimental results show that the proposed scheme achieves better performance than that of conventional DCT with respect to the bitrate savings and rendering quality.

• 한국정보통신학회논문지
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• 제18권11호
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• pp.2799-2804
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• 2014

본 논문에서는 집적 영상 기술을 사용하여 3차원 정보를 추출하는 지도 시스템을 제안한다. 집적 영상 기술은 렌즈 배열을 가지는 2차원 영상 획득장치를 사용하여 다수의 서로 다른 원근감을 가지는 요소 영상을 기록하고 이를 이용하여 3차원 정보를 획득하고 디스플레이하는 기술이다. 본 논문에서는 각 요소 영상간의 위치 차이를 절대 차이의 합 (Summation of Absolute Difference: SAD)를 사용하여 구하고 이를 이용하여 3차원 정보를 추출한다. 따라서, 3차원 물체의 높이 정보를 구할 수 있다.

• 한국측량학회:학술대회논문집
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• 한국측량학회 2009년도 춘계학술발표회 논문집
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• pp.75-78
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• 2009

기존의 수치지도는 2차원 도엽기반으로 되어 있어 정확성 및 최신성을 요하는 사용자의 요구조건을 충족하기에 많은 어려움이 있다. 본 연구에서는 객체형 연속수치지도의 요구사항을 분석하고 관련 시스템을 설계하였다. 객체형 연속수치지도는 3차원 연속객체로 최선성과 정확성을 갖고 있으며, 관리, 변환, 서비스, 변화정보관리, 수신갱신 및 동시갱신 시스템으로 세분화하여 시스템을 설계하였다.

• 한국멀티미디어학회논문지
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• 제20권8호
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• pp.1216-1223
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• 2017

Because of the open data in public domains, it is easy to collect the public data. However, people find difficulty in visualizing the data in material that they actually want. Especially, A map is a difficult material to do the visualization work, without using the specific tools and learning. Therefore, in this paper, we proposed an interface tool for map data visualization that user can easily visualize various national statistics data on the map. We designed the interface by classifying the properties of the map systematically, focusing on the completion and convenience for making the map. After that, we developed a web-based application using D3.js. After user evaluation, we found that our application can visualize the map more quickly and completely than any other web interfaces for map data visualization. Users also found a higher satisfaction in operating convenience.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2001년도 ICCAS
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• pp.123.1-123
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• 2001

For Autonomous navigation of the mobile robots, the robots' capability to recognize 3D environment is necessary. In this paper, an on-line 3D map building method for autonomous mobile robots is proposed. To get range data on the environment, we use an sensor system which is composed of a structured light and a CCD camera based on optimal triangulation. The structured laser is projected as a horizontal strip on the scene. The sensor system can rotate $\pm$ $30{\Circ}$ with a goniometer. Scanning the system, we get the laser strip image for the environments and update planes composing the environment by some image processing steps. From the laser strip on the captured image, we find a center point of each column, and make line segments through blobbing these center poings. Then, the planes of the environments are updated. These steps are done on-line in scanning phase. With the proposed method, we can efficiently get a 3D map about the structured environment.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2001년도 ICCAS
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• pp.123.5-123
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• 2001

For autonomous navigation of the mobile robots, the robots' capability to recognize 3D environment is necessary. In this paper, an on-line 3D map building method for autonomous mobile robots is proposed. To get range data on the environment, we use a sensor system which is composed of a structured light and a CCD camera based on optimal triangulation. The structured laser is projected as a horizontal strip on the scene. The sensor system can rotate$\pm$30$^{\circ}$ with a goniometer. Scanning the system, we get the laser strip image for the environments and update planes composing the environment by some image processing steps. From the laser strip on the captured image, we find a center point of each column, and make line segments through blobbing these center points. Then, the planes of the environments are updated. These steps are done on-line in scanning phase. With the proposed method, we can efficiently get a 3D map about the structured environment.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2018년도 춘계학술대회
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• pp.281-282
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• 2018

초다시점 영상 콘텐츠는 스테레오스코픽 영상이나 무안경 다시점 영상에서 문제가 되는 관찰자 양안의 수렴조절작용의 불일치로 인한 눈의 피로도 문제를 해결할 수 있는 완전 입체 영상을 제시할 수 있는 기술로 홀로그램 영상과 더불어 3D 영상 미디어의 긍극적인 발전방향으로 볼 수 있다. 현재 기술수준으로는 디스플레이 기술에 대한 기초 기반 연구와 함께 기술 검증 기술 검증단계에 머물러 있다. Depth Map(깊이 지도)은 3차원 컴퓨터 그래픽스에서 관찰 시점(viewpoint)으로부터 물체 표면과 의 거리와 관련된 정보가 담긴 하나의 영상 또는 영상의 한 채널이다.