• 제목/요약/키워드: Into Depth

검색결과 4,270건 처리시간 0.031초

3-DTIP: 깊이 데이터 기반 3차원 입체 TIP (3-DTIP: 3-D Stereoscopic Tour-Into-Picture Based on Depth Map)

  • 조철용;김제동;정다운;길종인;이광훈;김만배
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2009년도 정보 및 제어 심포지움 논문집
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    • pp.28-30
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    • 2009
  • This paper describes a 3-DTIP(3-D Tour Into Picture) using depth map for a Korean classical painting being composed of persons and landscape. Unlike conventional TIP methods providing 2-D image or video, our proposed TIP can provide users with 3-D stereoscopic contents. Navigating inside a picture provides more realistic and immersive perception. The method firstly makes depth map. Input data consists of foreground object, background image, depth map, foreground mask. Firstly we separate foreground object and background, make each of their depth map. Background is decomposed into polygons and assigned depth value to each vertexes. Then a polygon is decomposed into many triangles. Gouraud shading is used to make a final depth map. Navigating into a picture uses OpenGL library. Our proposed method was tested on "Danopungjun" and "Muyigido" that are famous paintings made in Chosun Dynasty. The stereoscopic video was proved to deliver new 3-D perception better than 2-D video.

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Color-Image Guided Depth Map Super-Resolution Based on Iterative Depth Feature Enhancement

  • Lijun Zhao;Ke Wang;Jinjing, Zhang;Jialong Zhang;Anhong Wang
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제17권8호
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    • pp.2068-2082
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    • 2023
  • With the rapid development of deep learning, Depth Map Super-Resolution (DMSR) method has achieved more advanced performances. However, when the upsampling rate is very large, it is difficult to capture the structural consistency between color features and depth features by these DMSR methods. Therefore, we propose a color-image guided DMSR method based on iterative depth feature enhancement. Considering the feature difference between high-quality color features and low-quality depth features, we propose to decompose the depth features into High-Frequency (HF) and Low-Frequency (LF) components. Due to structural homogeneity of depth HF components and HF color features, only HF color features are used to enhance the depth HF features without using the LF color features. Before the HF and LF depth feature decomposition, the LF component of the previous depth decomposition and the updated HF component are combined together. After decomposing and reorganizing recursively-updated features, we combine all the depth LF features with the final updated depth HF features to obtain the enhanced-depth features. Next, the enhanced-depth features are input into the multistage depth map fusion reconstruction block, in which the cross enhancement module is introduced into the reconstruction block to fully mine the spatial correlation of depth map by interleaving various features between different convolution groups. Experimental results can show that the two objective assessments of root mean square error and mean absolute deviation of the proposed method are superior to those of many latest DMSR methods.

이동 로봇을 위한 3차원 거리 측정 장치기반 비포장 도로 인식 (3D Depth Measurement System-based Unpaved Trail Recognition for Mobile Robots)

  • 김성찬;김종만;김형석
    • 제어로봇시스템학회논문지
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    • 제12권4호
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    • pp.395-399
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    • 2006
  • A method to recognize unpaved road region using a 3D depth measurement system is proposed for mobile robots. For autonomous maneuvering of mobile robots, recognition of obstacles or recognition of road region is the essential task. In this paper, the 3D depth measurement system which is composed of a rotating mirror, a line laser and mono-camera is employed to detect depth, where the laser light is reflected by the mirror and projected to the scene objects whose locations are to be determined. The obtained depth information is converted into an image. Such depth images of the road region represent even and plane while that of off-road region is irregular or textured. Therefore, the problem falls into a texture identification problem. Road region is detected employing a simple spatial differentiation technique to detect the plain textured area. Identification results of the diverse situation of unpaved trail are included in this paper.

Zigbee 기반 네트워크의 확장을 위한 어드레스 방식과 라우팅 방법 (Addressing and Routing Method for Zigbee Network Expansion)

  • 최성철;정우정;김태호;정규석;김종헌;이인성
    • 한국콘텐츠학회논문지
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    • 제9권7호
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    • pp.57-66
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    • 2009
  • Zigbee는 USN에서 쓰고 있는 대표적인 통신 표준이며 다양한 어플리케이션에 쓰이고 있다. Zigbee 프로토콜은 하나의 PAN망 안에서 어드레스를 부여하는데 DAA라는 방법을 이용을 하는데 이는 16Bit어드레스 구역을 Depth에 따라 일정한 크기의 블록으로 나누어서 각각의 노드에게 할당을 하는 방식이다. 그러나 이 방식은 노드수가 Depth가 증가함에 따라서 하나의 Depth에 부여하는 최대 Router수의 지수승으로 증가를 하기 때문에 16Bit로 부여할 수 있는 어드레스에 제한이 생긴다. 따라서 넓은 지역이나 음영지역이 많은 곳처럼 많은Router수를 가지고 Depth가 큰 네트워크를 구성하기가 힘들다. 또한 하나의 PAN망 안에서 동작하기 때문에 여러 PAN을 하나의 네트워크로 구성하기가 힘들다. 본 논문에서는 Zigbee 기반의 네트워크를 확장하여 여러 PAN망을 하나의 네트워크로 구성할 수 있고 Router수와 Depth에 제한이 덜하여 넓은 지역을 묶을 수 있는 새로운 어드레스 방식과 라우팅 방법을 제안을 하였다. 그리고 이를 실험을 통하여 그 동작을 확인하고 실증 시험을 통하여 활용할 수 있음을 보였다.

오류 보정을 이용한 초점 이미지들로부터의 깊이 추출 (Depth Extraction From Focused Images Using The Error Interpolation)

  • 김진사;노경완;김충원
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 1999년도 하계종합학술대회 논문집
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    • pp.627-630
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    • 1999
  • For depth extraction from the focus and recovery the shape, determination of criterion function for focus measure and size of the criterion window are very important. However, Texture, illumination, and magnification have an effect on focus measure. For that reason, depth map has a partial high and low peak. In this paper, we propose a depth extraction method from focused images using the error interpolation. This method is modified the error depth into mean value between two normal depth in order to improve the depth map.

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3DTIP: 한국 고전화의 3차원 입체 Tour-Into-Picture (3DTIP: 3D Stereoscopic Tour-Into-Picture of Korean Traditional Paintings)

  • 조철용;김만배
    • 방송공학회논문지
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    • 제14권5호
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    • pp.616-624
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    • 2009
  • 본 논문에서는 인물, 배, 풍경 등으로 구성되는 한국 고전화의 3D 입체 Tour-Into-Picture를 제안한다. 기존의 TIP 기법은 2D 영상 또는 동영상을 제공하는 것과는 달리, 제안하는 TIP는 3차원 입체 콘텐츠를 제공한다. 따라서 한 장의 영상 내부를 항해하면서 입체로 시청할 수 있는 특징이 있다. 제안 방법은 첫째 전경 마스크, 배경영상, 및 깊이맵을 생성한다. 다음에는 영상 내부를 항해하면서 투영 영상들을 획득한다. 마지막으로 전경객체에서 발생하는 카드보드효과를 감소시키기 위하여 템플릿 및 로스 텍스처 필터 기반 깊이맵 생성을 새로이 제안한다. 제안 방법을 조선시대의 작품인 신윤복의 '단오풍정'과 김홍도의 '무이귀도'에 적용하였고, 입체 애니메이션으로 제작되어 보다 실감 있는 콘텐츠를 제공한다.

펄스 TIG용접에서 필러 와이어 송급속도에 따른 아크압력 변동이 용입에 미치는 영향 (The Effects of the Arc Pressure Variation on the Penetration by the filler Wire Feed Rate in Pulsed TIG Welding)

  • 조상명;김진우
    • Journal of Welding and Joining
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    • 제22권1호
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    • pp.71-76
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    • 2004
  • In the standpoint of the arc pressure, the effects of the filler wire feed rate on the penetration was investigated in this study. The pure Ar gas was used as a shield gas and the parameters investigated were the welding current and the filler wire feed rate. By making the experiment on the arc pressure, we could know that the arc pressure was fluctuated as the depth-into-arc of the tungsten rod. Instead of the filler wire, the tungsten rod was supplied into the molten pool to make this experiment. Because the filler wire melted in arc and then we couldn't measure the arc pressure. So, the tungsten rod - the highest melting point - was used. According to the depth-into-arc of the tungsten rod, the arc pressure could be measured by using the manometer. It was proved that the arc pressure got higher as the wire feed rate was slow. It is reported the arc pressure is proportion to welding voltage and the square of welding current. But, in the filler wire TIG welding, we could blow that arc pressure was fluctuated as the depth-into-arc of filler wire was changed. We could measure the arc pressure by the variation of the filler wire feed rate and could verify that it affected bead shape and penetration.

Optimized Multiple Description Lattice Vector Quantization Coding for 3D Depth Image

  • Zhang, Huiwen;Bai, Huihui;Liu, Meiqin;Zhao, Yao
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제9권3호
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    • pp.1140-1154
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    • 2015
  • Multiple Description (MD) coding is a promising alternative for the robust transmission of information over error-prone channels. Lattice vector quantization (LVQ) is a significant version of MD techniques to design an MD image coder. However, different from the traditional 2D texture image, the 3D depth image has its own special characteristics, which should be taken into account for efficient compression. In this paper, an optimized MDLVQ scheme is proposed in view of the characteristics of 3D depth image. First, due to the sparsity of depth image, the image blocks can be classified into edge blocks and smooth blocks, which are encoded by different modes. Furthermore, according to the boundary contents in edge blocks, the step size of LVQ can be regulated adaptively for each block. Experimental results validate the effectiveness of the proposed scheme, which show better rate distortion performance compared with the conventional MDLVQ.

Creating Architectural Scenes from Photographs Using Model-based Stereo arid Image Subregioning

  • Aphiboon, Jitti;Papasratorn, Borworn
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2002년도 ITC-CSCC -3
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    • pp.1666-1669
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    • 2002
  • In the process of creating architectural scenes from photographs using Model-based Stereo 〔1〕, the geometric model is used as prior information to solve correspondence problems and recover the depth or disparity of real scenes. This paper presents an Image Subregioning algorithm that divides left and right images into several rectangular sub-images. The division is done according to the estimated depth of real scenes using a Heuristic Approach. The depth difference between the reality and the model can be partitioned into each depth level. This reduces disparity search range in the Similarity Function. For architectural scenes with complex depth, experiments using the above approach show that accurate disparity maps and better results when rendering scenes can be achieved by the proposed algorithm.

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웹사이트 메뉴 Depth를 줄이는 방식간의 비교 분석 (Analysis of the Methods to Decrease the Depth of Menu in Web Site)

  • 박희석;김유노
    • 대한인간공학회지
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    • 제19권3호
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    • pp.61-75
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    • 2000
  • To enhance web site's usability, it has been suggested that the depth of tree structured menus should be minimized. In this research, experimental results are reported to quantitatively compare the methods currently used for reducing the depth of menus in web sites. 25 popular web sites were selected and their menu types were categorized into four types: top menu, drop-down menu, boolean menu, and table of contents. The four types of menu were then sub-categorized into 15 different types according to their sub-menu type, existence of menu colors, and the event occurring after mouse activation. Performance tests and subjective evaluation were carried out. The results showed that there were no significant differences in terms of response time among the 15 menu types, while table of contents and drop-down in which the first and second level of menus were visible induced the least number of errors. In the subjective test, the top-menu structure with colors and presentation of its sub-menu without clicking mouse were preferred.

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