• 제목/요약/키워드: Texture Depth

검색결과 327건 처리시간 0.026초

입력 영상과의 상관관계를 이용한 변이 지도 영상의 개선 및 객체 분할 (Disparity map image Improvement and object segmentation using the Correlation of Original Image)

  • 신동진;최민수;한동일
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2006년도 하계종합학술대회
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    • pp.317-318
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    • 2006
  • There are lot of noises and errors in depth map image which is gotten by using a stereo camera. These errors are caused by mismatching of the corresponding points which occur in texture-less region of input images of stereo camera or occlusions. In this paper, we use a method which is able to get rid of the noises through post processing and reduce the errors of disparity values which are caused by the mismatching in the texture-less region of input images through the correlation between the depth map images and the input images. Then we propose a novel method which segments the object by using the improved disparity map images and projections.

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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.

Epipolar geometry를 활용한 개선된 depth 평가 방법 (Improved depth evaluation using Epipolar geometry)

  • 김성민;한종기
    • 한국방송∙미디어공학회:학술대회논문집
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    • 한국방송∙미디어공학회 2022년도 추계학술대회
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    • pp.99-102
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    • 2022
  • 실재하는 물체나 장소를 디지털 카메라나 휴대폰 카메라로 여러 장 촬영하여 얻은 2차원 이미지 데이터셋으로부터 3차원 영상을 얻기 위해서 이미지를 이루는 각 pixel의 depth 정보를 얻는 것은 필수적인 과정이다. 주어진 이미지에서 depth 정보를 얻기 위해 Shuhan Shen은 PatchMatch 알고리즘을 활용하는 것을 제안하였다. 그 이후 PatchMatch 기반의 알고리즘은 널리 사용되며 우수한 성능을 보이고 있다. PatchMatch 기반의 알고리즘을 사용해 depth를 추정하는 과정에서 depth와 법선 벡터를 Zero-mean Normalized Cross Correlation(ZNCC)를 사용해 평가한다. 하지만, ZNCC는 depth를 평가하려는 pixel의 주변 pixel들의 밝기 값 혹은 색상 값의 분포를 사용하기 때문에 밝기 값이나 색상 값의 변화가 적은 texture-less region에서는 신뢰성이 떨어진다. 본 논문에서는 이 문제를 epipolar geometry를 활용한 기하학적 정보를 이용하여 개선하고자 한다.

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열화상 이미지 다중 채널 재매핑을 통한 단일 열화상 이미지 깊이 추정 향상 (Enhancing Single Thermal Image Depth Estimation via Multi-Channel Remapping for Thermal Images)

  • 김정윤;전명환;김아영
    • 로봇학회논문지
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    • 제17권3호
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    • pp.314-321
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    • 2022
  • Depth information used in SLAM and visual odometry is essential in robotics. Depth information often obtained from sensors or learned by networks. While learning-based methods have gained popularity, they are mostly limited to RGB images. However, the limitation of RGB images occurs in visually derailed environments. Thermal cameras are in the spotlight as a way to solve these problems. Unlike RGB images, thermal images reliably perceive the environment regardless of the illumination variance but show lacking contrast and texture. This low contrast in the thermal image prohibits an algorithm from effectively learning the underlying scene details. To tackle these challenges, we propose multi-channel remapping for contrast. Our method allows a learning-based depth prediction model to have an accurate depth prediction even in low light conditions. We validate the feasibility and show that our multi-channel remapping method outperforms the existing methods both visually and quantitatively over our dataset.

일반적 총변이를 이용한 깊이맵 업샘플링 방법 (Depth Upsampling Method Using Total Generalized Variation)

  • 홍수민;호요성
    • 방송공학회논문지
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    • 제21권6호
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    • pp.957-964
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    • 2016
  • 요즘 들어, 3차원 콘텐츠의 수요는 지속적으로 증가하고 있다. 3차원 콘텐츠의 품질은 해당 장면의 깊이 정보에 큰 영향을 받기 때문에 정확한 깊이 정보를 얻는 것이 매우 중요하다. 카메라와 객체 사이의 깊이 정보는 적외선 센서를 이용한 계산을 통해 직접 얻을 수 있다. 최근 들어, KINECT 카메라와 같이 카메라와 물체 사이의 거리를 적외선이나 광신호를 이용하여 직접 측정하는 Time-of-flight (ToF) 기술을 사용하는 깊이 측정 방법이 널리 사용되고 있다. 이러한 방법은 카메라와 객체 사이의 깊이 정보를 실시간으로 획득할 수 있다는 장점을 갖지만, 획득된 깊이맵에 잡음이 발생하고, 깊이맵의 해상도가 낮다는 단점을 갖는다. 최근 들어, 이런 문제를 해결하기 위해서 양방향 결합 업샘플링 방법 (JBU) 이나 잡음 제거 업샘플링 방법 (NAFDU) 과 같은 필터 기반의 방법이 제안되었다. 그러나 이러한 필터 기반의 업샘플링 방법은 업샘플링된 깊이맵에 색상영상의 질감이 복사되는 문제가 발생한다. 이 논문에서는 이러한 문제점을 해결하기 위해 고차 정규화항을 이용하여 에너지 함수를 만들고, 이를 최적화하여 깊이맵을 업샘플링 한다. 또한, 색상과 깊이맵의 경계 정보를 고려한 경계 가중치항을 추가하여 질감 복사 문제를 해결한다. 실험 결과, 제안하는 깊이맵 업샘플링 방법이 기존의 방법에 비해 깊이 정보의 품질은 유지하면서, 질감 복사 문제를 효과적으로 해결할 수 있음을 확인했다.

Resolution-independent Up-sampling for Depth Map Using Fractal Transforms

  • Liu, Meiqin;Zhao, Yao;Lin, Chunyu;Bai, Huihui;Yao, Chao
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제10권6호
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    • pp.2730-2747
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    • 2016
  • Due to the limitation of the bandwidth resource and capture resolution of depth cameras, low resolution depth maps should be up-sampled to high resolution so that they can correspond to their texture images. In this paper, a novel depth map up-sampling algorithm is proposed by exploiting the fractal internal self-referential feature. Fractal parameters which are extracted from a depth map, describe the internal self-referential feature of the depth map, do not introduce inherent scale and just retain the relational information of the depth map, i.e., fractal transforms provide a resolution-independent description for depth maps and could up-sample depth maps to an arbitrary high resolution. Then, an enhancement method is also proposed to further improve the performance of the up-sampled depth map. The experimental results demonstrate that better quality of synthesized views is achieved both on objective and subjective performance. Most important of all, arbitrary resolution depth maps can be obtained with the aid of the proposed scheme.

패션일러스트레이션의 창의적 표현 방법 연구 - 표현 요소를 중심으로 - (A Study on the Creative Expression of Fashion illustration - Focusing on The Expression of Elements -)

  • 성유정;유영선
    • 복식
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    • 제52권7호
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    • pp.13-25
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    • 2002
  • The purpose of this study is to develope a creative expression technique in fashion illustration through analyzing applied techniques of the elements related to creative expressions in fashion illustrations. They were investigated in view of line, form, texture, color, space and the results were summarized as follows. In the creative expression using line in the fashion illustration. emotional effects of line created by specific character of mediums and duplicated lines have been applied to visualize movements of the objects. In shape, the transformed figure by destructing. covering or eliminating a part of the figure or the dress has been adapted. In texture. the invented texture reconstructed from actual texture has been applied, collage technique. computer graphic being used to give various images of texture. The creative expressions using color have been achieved by the shading. and spreading effects and the symbolic meaning of color for creating a spatiality in a picture plane and to give emotional effects and visual concentricity. In space, the color perspective together with detailed description. the combination of various points of view and liner perspective have been used to create depth and illusional space in pictorial plane.

산림환경 및 하천형태인자에 의한 유역안정성 평가 (Evaluation of Watershed Stability by the Forest Environmental and Stream Morphological Factors)

  • 정원옥;마호섭
    • 한국환경복원기술학회지
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    • 제4권4호
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    • pp.1-11
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    • 2001
  • This study was carried out to analyze the characteristics of forest environmental and stream morphological factors by using the quantification theory(I) for evaluation of the watershed stability. Present annual mean sediment yield of erosion control dams were investigated in 167 sites of erosion control dam constructed during 1986 to 1999 in Gyeongbuk. The results obtained from this study were summarized as follows; According to the coefficients of partial correlation, each factor affecting to sediment was shown in order of gravel contents, number of first streams order, number of total streams, length of total streams, forest type, length of main stream, parent rock, stand age, soil texture, stream order, slope gradient, soil depth and aspect. Descriptions of class I were as follow; Igneous rock of parent rock, hardwood stands of forest type, less than 20 year of stand age, less than 30cm of soil depth, sandy clay loam of soil texture, more than 41% of gravel contents, south~east of aspect, 2,501~3,500m of length of main stream, 21~25 of number of total streams, 5,501~10,000m of length of total streams, 3 or more than 4 of stream order, more than 16 of number of first stream orders and more than $31^{\circ}$ of slope gradient. Descriptions of class II were as follow; Metamorphic rock of parent rock, coniferous stands of forest type, more than 25 year of stand age, 31~40cm of soil depth, silt loam of soil texture, 11~20% of gravel contents, north~west of aspect, 2,501~3,500m of length of main stream, 16~20 of number of total streams, 3,501~5,500m of length of total streams, 3 of stream order, 11~15 of number of first stream orders and more than $31^{\circ}$ of slope gradient. Descriptions of class III were as follow; Sedimentary rock of parent rock, mixed stands of forest type, more than 25 year of stand age, more than 51cm of soil depth, silty clay loam of soil texture, less than 10% of gravel contents, south~west of aspect, less than 500m of length of main stream, less than 5 of number of total streams, less than 1,000m of length of total streams, less than 1 of stream order, less than 2 of number of first stream orders and less than $25^{\circ}$ of slope gradient. The prediction method of suitable site for erosion control dam divided into class I, II, and III for the convenience of use. The score of class I evaluated as a very unstable area was more than 8.4494. A score of class II was 8.4493 to 6.0452, it was evaluated as a moderate stable area, and class III was less than 6.0541, it was evaluated as a very stable area.

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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.