• Title/Summary/Keyword: 2차원 이미지

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The Assessment of Visual Preference and Landscape Image in Odaesan National Park (오대산 국립공원 경관의 이미지 및 시각선호성 평가)

  • 김세천
    • Korean Journal of Environment and Ecology
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    • v.9 no.2
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    • pp.232-249
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    • 1996
  • The purpose of this is to suggest objective basic data for the use development and conservation management of the national park through the quantitative analysis of the visual quality included in the physical environment of the Odaesan National Park, for this, spatial images structure of physical elements have been analyzed by factor analysis algorithm and degree of visual quality have been measured mainly by questionnaries. Result of this thesis can be summarized as follows. Factors covering the spatial image of the Odaesan National Park landscape have been found to be the pverall synthetic evaluation, physical, spatial, natural quality and, appeal factors such as the overall the synthetic evaluation, spatial and appeal yield high factor scores. As for the factors determining the degree of visual quality of clear of valley, peculiarity of configuration, natural of trail, harmony of suitable artificaial planting and temple.

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3D Map Generation System for Indoor Autonomous Navigation (실내 자율 주행을 위한 3D Map 생성 시스템)

  • Moon, SungTae;Han, Sang-Hyuck;Eom, Wesub;Kim, Youn-Kyu
    • Aerospace Engineering and Technology
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    • v.11 no.2
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    • pp.140-148
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    • 2012
  • For autonomous navigation, map, pose tracking, and finding the shortest path are required. Because there is no GPS signal in indoor environment, the current position should be recognized in the 3D map by using image processing or something. In this paper, we explain 3D map creation technology by using depth camera like Kinect and pose tracking in 3D map by using 2D image taking from camera. In addition, the mechanism of avoiding obstacles is discussed.

A Study on Sensibility Image of Necktie according to Width and Color Combination of Checked Pattern (체크패턴의 폭과 색채조합에 따른 넥타이의 감성이미지 연구)

  • Choi, Su-Koung;Jung, Su-Jin;Sung, Nam-Suk
    • Science of Emotion and Sensibility
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    • v.12 no.4
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    • pp.545-556
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    • 2009
  • The purpose of this study was to investigate the sensibility image of necktie according to width and color combination of checked pattern. The experimental materials developed for this study were a set of stimulus and response scales. The stimuli were 18 color pictures, in which the width(small: 0.2cm, medium: 1cm, large: 2cm), tone combination(similar, contrast), and hue combination(WR: white+red, WB: white+blue, WG: white+gray) were manipulated. The 7-point scale was used for evaluation of sensibility image. The subjects of this research were 216 female college students living in Gyeongnam. The investigation was carried out at September 2009. The data were analyzed by using SPSS program. Analysis methods were ANOVA and Duncan-test. The results of this study were as follows.; The analyses of sensibility for necktie according to width and color combination of checked pattern revealed that the concerned factors are five characteristic dimensions of attractiveness, youth, appeal, elegance, and warmness. Width showed an independent effect on appeal. Tone combination showed an independent effect on attractiveness, appeal, elegance, and warmness. Interaction effects of width and tone combination on attractiveness were found. Hue combination showed an independent effect on all dimensions. In addition, significant interaction effects of width and hue combination on attractiveness, youth, appeal, and elegance were found. Significant interaction effects of tone combination and hue combination on attractiveness, youth, and appeal were found.

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JPEG Pleno 홀로그래피 표준화 기술 동향

  • O, Gwan-Jeong
    • Broadcasting and Media Magazine
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    • v.24 no.2
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    • pp.73-82
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    • 2019
  • 국제 표준화 기구 ISO/IEC JCT1/SC29/WG1 JPEG(Joint Photographic Experts Group)에서는 지난 30여년간 JPEG, JPEG 2000, JPEG XR, JPEG XT, JPEG XS 등 다양한 2D 이미지 압축 관련 표준을 제정해왔다. 지난 2014년 10월에는 JPEG Pleno라는 이름으로 2D 이미지가 아닌 3차원 영상 정보 압축을 위한 새로운 표준화 과제를 시작했다. JPEG Pleno에서 다루는 3차원 영상 정보는 라이트 필드, 포인트 클라우드, 홀로그램이다. 본 원고에서는 현재 JPEG Pleno 홀로그래피에서 다뤄지는 디지털 홀로그램 영상 압축에 대한 국제 표준화 현황을 소개하고, 향후 나아갈 방향을 전망해 본다.

Two-stage Content-based Image Retrieval Using the Dimensionality Condensation of Feature Vector (특징벡터의 차원축약 기법을 이용한 2단계 내용기반 이미지검색 시스템)

  • 조정원;최병욱
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.28 no.7C
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    • pp.719-725
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    • 2003
  • The content-based image retrieval system extracts features of color, shape and texture from raw images, and builds the database with those features in the indexing process. The search in the whole retrieval system is defined as a process which finds images that have large similarity to query image using the feature database. This paper proposes a new two-stage search method in the content-based image retrieval system. The method is that the features are condensed and stored by the property of Cauchy-Schwartz inequality in order to reduce the similarity computation time which takes a mostly response time from entering a query to getting retrieval results. By the extensive computer simulations, we have observed that the proposed two-stage search method successfully reduces the similarity computation time while maintaining the same retrieval relevance as the conventional exhaustive search method. We also have observed that the method is more effective as the number of images and dimensions of the feature space increase.

2D Game Image Color Synthesis System Using Convolutional Neural Network (컨볼루션 인공신경망을 이용한 2차원 게임 이미지 색상 합성 시스템)

  • Hong, Seung Jin;Kang, Shin Jin;Cho, Sung Hyun
    • Journal of Korea Game Society
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    • v.18 no.2
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    • pp.89-98
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    • 2018
  • The recent Neural Network technique has shown good performance in content generation such as image generation in addition to the conventional classification problem and clustering problem solving. In this study, we propose an image generation method using artificial neural network as a next generation content creation technique. The proposed artificial neural network model receives two images and combines them into a new image by taking color from one image and shape from the other image. This model is made up of Convolutional Neural Network, which has two encoders for extracting color and shape from images, and a decoder for taking all the values of each encoder and generating a combination image. The result of this work can be applied to various 2D image generation and modification works in game development process at low cost.

3D Cartoon Silhouette Rendering using Edge Extension Technique (에지 확장기법을 이용한 3차원 카툰 실루엣 렌더링)

  • 도주영;류관우;양태천
    • Proceedings of the Korean Information Science Society Conference
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    • 2001.10b
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    • pp.490-492
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    • 2001
  • 3차원 정보를 바탕으로 실제 세계의 장면이나 물체를 비사실적으로 표현하기 위한 방법으로 비사실적 이미지 렌더링(Non-Photorealistic: NPR)기법을 사용하고 있다. 현재 기존의 2차원에서의 NPR기법을 기반으로 3차원에 확장된 방법까지 다양한 표현방법이 연구되고 있다. 본 논문에서는 3차원의 물체를 사람이 직접 그린 듯한 표현에 중점을 둔 3차원 카툰렌더링 효과를 나타내기 위한 효과적인 기법을 제안한다. 이러한 카툰렌더링 표현은 현실세계의 3차원 정보를 인간에게 보다 감각적이고 효과적으로 전달 할 수 있는 장점이 있다. 본 논문에서는 비사실적 이미지 표현에서 가장 기본이 되는 실루엣 에지를 추출하고, 추출한 실루엣 에지를 표현하기 위한 효과적인 방법을 제시하여 보다 핸드 드로잉(hand drawing)에 가까운 카툰 렌더링(Cartoon Rendering)을 실시간으로 나타내는데 중점을 두고 있다.

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Quantitative Analysis of Landscape in Tokyusan National Park (덕유산 국립공원 경관에 대한 계량적 분석)

  • 김세천
    • Korean Journal of Environment and Ecology
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    • v.7 no.2
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    • pp.231-240
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    • 1994
  • The purpose of this study is to suggest the objective basic data for applying to development and conservation management of the national park through the quantitative analysis of the visual quality included in the and physical environment of the Tokyusan National Park. For this, spatial images and structures, of natural elements have been analyzed by factor analysis algorithm, and degree of visual quality has been measured mainly through questionnaries. Result of this study can be summarized as follows. Factors covering the spatial image of the Tokyusan National Park landscape have been found to be the overall synthetic evaluation, appeal, spatial, natural quality and dignity factors such as the overall synthetic evaluation, spatial and appeal yield high factor scores. The main factors determining the degree of visual quality are the clearness valley, peculiarity of configuration, natural of trail, harmony of suitable artificial planting and temple.

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Geometric Snapping for 3D Triangular Meshes and Its Applications (3차원 삼각형 메쉬에 대한 기하학적 스내핑과 그의 응용)

  • 유관희;하종성
    • Journal of KIISE:Computer Systems and Theory
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    • v.31 no.3_4
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    • pp.239-246
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    • 2004
  • Image snapping for an image moves the cursor location to nearby features in the image, such as edges. In this paper, we propose geometric snapping for 3D triangular meshes, which is extended from image snapping. Similar to image snapping, geometric snapping also moves the cursor location naturally to a location which represents main geometric features in the 3D triangular meshes. Movement of cursor is based on the approximate curvatures which appear geometric features on the 3D triangular meshes. The proposed geometric snapping can be applied to extract main geometric features on 3D triangular meshes. Moreover, it can be applied to extract the geometric features of a tooth which are necessary for generating the occlusal surfaces in dental prostheses.

Fashion-show Animation Generation using a Single Image to 3D Human Reconstruction Technique (이미지에서 3차원 인물복원 기법을 사용한 패션쇼 애니메이션 생성기법)

  • Ahn, Heejune;Minar, Matiur Rahman
    • Journal of Korea Society of Industrial Information Systems
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    • v.24 no.5
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    • pp.17-25
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    • 2019
  • In this paper, we introduce the technology to convert a single human image into a fashion show animation video clip. The technology can help the customers confirm the dynamic fitting result when combined with the virtual try on technique as well as the interesting experience to a normal person of being a fashion model. We developed an extended technique of full human 2D to 3D inverse modeling based on SMPLify human body inverse modeling technique, and a rigged model animation method. The 3D shape deformation of the full human from the body model was performed by 2 part deformation in the image domain and reconstruction using the estimated depth information. The quality of resultant animation videos are made to be publically available for evaluation. We consider it is a promising approach for commercial application when supplemented with the post - processing technology such as image segmentation technique, mapping technique and restoration technique of obscured area.