• 제목/요약/키워드: Visual Images

검색결과 2,311건 처리시간 0.026초

Digital Modelling of Visual Perception in Architectural Environment

  • Seo, Dong-Yeon;Lee, Kyung-Hoi
    • KIEAE Journal
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    • 제3권2호
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    • pp.59-66
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    • 2003
  • To be the design method supporting aesthetic ability of human, CAAD system should essentially recognize architectural form in the same way of human. In this study, visual perception process of human was analyzed to search proper computational method performing similar step of perception of it. Through the analysis of visual perception, vision was separated to low-level vision and high-level vision. Edge detection and neural network were selected to model after low-level vision and high-level vision. The 24 images of building, tree and landscape were processed by edge detection and trained by neural network. And 24 new images were used to test trained network. The test shows that trained network gives right perception result toward each images with low error rate. This study is on the meaning of artificial intelligence in design process rather than on the design automation strategy through artificial intelligence.

Small Object Segmentation Based on Visual Saliency in Natural Images

  • Manh, Huynh Trung;Lee, Gueesang
    • Journal of Information Processing Systems
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    • 제9권4호
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    • pp.592-601
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    • 2013
  • Object segmentation is a challenging task in image processing and computer vision. In this paper, we present a visual attention based segmentation method to segment small sized interesting objects in natural images. Different from the traditional methods, we first search the region of interest by using our novel saliency-based method, which is mainly based on band-pass filtering, to obtain the appropriate frequency. Secondly, we applied the Gaussian Mixture Model (GMM) to locate the object region. By incorporating the visual attention analysis into object segmentation, our proposed approach is able to narrow the search region for object segmentation, so that the accuracy is increased and the computational complexity is reduced. The experimental results indicate that our proposed approach is efficient for object segmentation in natural images, especially for small objects. Our proposed method significantly outperforms traditional GMM based segmentation.

Three-Dimensional Photon Counting Imaging with Enhanced Visual Quality

  • Lee, Jaehoon;Lee, Min-Chul;Cho, Myungjin
    • Journal of information and communication convergence engineering
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    • 제19권3호
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    • pp.180-187
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    • 2021
  • In this paper, we present a computational volumetric reconstruction method for three-dimensional (3D) photon counting imaging with enhanced visual quality when low-resolution elemental images are used under photon-starved conditions. In conventional photon counting imaging with low-resolution elemental images, it may be difficult to estimate the 3D scene correctly because of a lack of scene information. In addition, the reconstructed 3D images may be blurred because volumetric computational reconstruction has an averaging effect. In contrast, with our method, the pixels of the elemental image rearrangement technique and a Bayesian approach are used as the reconstruction and estimation methods, respectively. Therefore, our method can enhance the visual quality and estimation accuracy of the reconstructed 3D images because it does not have an averaging effect and uses prior information about the 3D scene. To validate our technique, we performed optical experiments and demonstrated the reconstruction results.

체크원피스(Check dress)의 시각적 이미지에 관한 연구 (A Study on the Visual Image of Check Dress)

  • 김정미
    • 한국의상디자인학회지
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    • 제17권4호
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    • pp.91-100
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    • 2015
  • The purpose of this study is to analyze the style of check dresses shown in collections from 2011 to 2014 and to extract main expressional words for the development of semantic differential scales of visual images according to the change in silhouette of block check dresses. The results of this study are as follows: 1) 120 check dresses shown in collections were composed of 57 straight silhouette dresses, 38 fitted silhouette dresses, 23 hourglass silhouette dresses, 1 barrel silhouette dress, and 1 atypical silhouette dress. And check pattern mostly used in the current collections a square pattern of block check, tartan check that is a Scotch traditional lattice pattern, a small lattice pattern of gingham check, over check that other check patterns are arranged on check pattern, star-shaped hound tooth check, glen check mixing small pattern and big pattern. The visual image for check dress differs according to changes in the check pattern and silhouette of the dress. 2) Main expressional words of visual images for block check dresses differ greatly depending on the silhouette of dresses. The visual images are ranked in the order of 'graphic', 'simple', 'hard', 'modern' for straight silhouette of block check dresses. The words of 'lively', 'girlish', 'feminine', 'cute' are ranked for hourglass silhouette of block check dresses. And the words of 'confident', 'feminine', 'modern' are marked down for fitted silhouette of block check dresses.

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The Design and Communication Strategy of Virtual Idols "Luo Tianyi(洛天依)"

  • Guangtao Song;Albert Young Choi
    • International Journal of Advanced Culture Technology
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    • 제11권1호
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    • pp.45-54
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    • 2023
  • The digital age start in earnest with the widespread use of the Internet. As a digital product, virtual idols bring new value to the design and dissemination of commercial brand images. "Luo Tianyi" is the world's first avatar and VOCALOID voice bank of Chinese. It has a large number of fans in China and is widely used in brand promotion. Therefore, "Luo Tianyi" is taken as the research object. Initially, we investigated the virtual idols through books, literature on the internet and other materials. Then we discussed semiotics and theories related to culture code brand design methodology (CCBD). After that, putting the above theories into practice, combined with brand design cases, we analyzed the strategy of virtual idols in brand promotion and dissemination, at last, we have the conclusion as followed. The results show that the virtual idols, visual symbol of "Luo Tianyi" can express the Index and Symbol corresponding to the brand information according to the characteristics of the brand. As an image of cultural code, "Luo Tianyi" can present three visual images at the same time, which are contemporary, traditional and future. In addition, these three visual images are presented in a strong and weak combination, which has a positive impact on the visual communication of the brand.

시각 암호화와 가상 위상영상을 이용한 광 암호화 시스템 (Optical Encrytion System using Visual Cryptography and Virtual Phase Images)

  • 김인식;조규보;서동환;조웅호;김수중
    • 한국광학회:학술대회논문집
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    • 한국광학회 2003년도 제14회 정기총회 및 03년 동계학술발표회
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    • pp.56-57
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    • 2003
  • We propose the encrytion method using visual cryptography and virtual phase images. The decryption is able to be performed when anyone got all of the keys. Original information is extracted by using Mach-Zehnder interferometer.

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의미적 연관태그와 이미지 내용정보를 이용한 웹 이미지 분류 (Web Image Classification using Semantically Related Tags and Image Content)

  • 조수선
    • 인터넷정보학회논문지
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    • 제11권3호
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    • pp.15-24
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    • 2010
  • 본 논문에서는 대용량 온라인 이미지 공유 사이트를 적용 도메인으로 하여 이미지 검색의 만족도를 높이고자 태그의 의미적 연관성과 이미지 자체의 내용 정보를 결합하는 이미지 분류 방법을 제안한다. 이미지 검색 및 분류 알고리즘이 플리커와 같은 대용량 이미지 공유 사이트에서 활용될 수 있으려면 실제 웹상의 태깅된 이미지를 대상으로 한 적용이 가능해야 한다. 제안된 알고리즘은 'bag of visual word'기반의 이미지 내용으로 웹 이미지를 분류하기 위한 것으로서, 의미적 연관태그를 이용해 일차 검색된 이미지들을 훈련 데이터로 사용하여 카테고리 모델을 훈련하고, PLSA를 적용하여 평가 이미지들을 분류하는 것이다. 제안된 방법으로 플리커의 웹 이미지들을 대상으로 실험한 결과, 태그 정보를 이용한 기존의 방법에 비해 우수한 검색 정확도 및 재현율을 확인할 수 있었다.

Image Understanding for Visual Dialog

  • Cho, Yeongsu;Kim, Incheol
    • Journal of Information Processing Systems
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    • 제15권5호
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    • pp.1171-1178
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    • 2019
  • This study proposes a deep neural network model based on an encoder-decoder structure for visual dialogs. Ongoing linguistic understanding of the dialog history and context is important to generate correct answers to questions in visual dialogs followed by questions and answers regarding images. Nevertheless, in many cases, a visual understanding that can identify scenes or object attributes contained in images is beneficial. Hence, in the proposed model, by employing a separate person detector and an attribute recognizer in addition to visual features extracted from the entire input image at the encoding stage using a convolutional neural network, we emphasize attributes, such as gender, age, and dress concept of the people in the corresponding image and use them to generate answers. The results of the experiments conducted using VisDial v0.9, a large benchmark dataset, confirmed that the proposed model performed well.

영상 기반 위치 인식을 위한 대규모 언어-이미지 모델 기반의 Bag-of-Objects 표현 (Large-scale Language-image Model-based Bag-of-Objects Extraction for Visual Place Recognition)

  • 정승운;박병재
    • 센서학회지
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    • 제33권2호
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    • pp.78-85
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    • 2024
  • We proposed a method for visual place recognition that represents images using objects as visual words. Visual words represent the various objects present in urban environments. To detect various objects within the images, we implemented and used a zero-shot detector based on a large-scale image language model. This zero-shot detector enables the detection of various objects in urban environments without additional training. In the process of creating histograms using the proposed method, frequency-based weighting was applied to consider the importance of each object. Through experiments with open datasets, the potential of the proposed method was demonstrated by comparing it with another method, even in situations involving environmental or viewpoint changes.

상업공간에서 시지각 공간유도를 위한 재료 표현방법에 관한 연구 (Ways of expressing materials to create visual perception spaces in commercial spaces)

  • 이곡숙;정선희;서지은
    • 한국실내디자인학회논문집
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    • 제20권2호
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    • pp.167-175
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    • 2011
  • This study analyzed the ways of expressing materials to create visual perception spaces in "commercial spaces". The result is as follows. First, it has been discovered that expressing materials in commercial spaces plays an important role in creating various visual perception spaces as well as discriminative spaces, in commercial spaces. Hence, it will be necessary to make a multilateral study on how you can express materials to create visual perception spaces. Second, by referring to earlier studies, four types of space have been deduced as visual perception spaces. These are: "expansion", "central", "borderline" and "decoration" spaces. Third, by considering the space types and characteristics as well as the expressing materials, the criteria for the ways of expressing materials to create visual perception spaces in commercial spaces. Finally, looking at these expression methods, images of "expansion" spaces have most commonly been expressed indistinctly by using the materials and patterns. The profound images of "central" spaces were displayed using the materials and their symbolic images have been shown using the materials and colors. In the "borderline" spaces, the areas have been distinctly segmented or expressed in limited spaces by using the materials and colors. Visual designs were displayed in the "decoration" spaces by using materials from other space fields. All these phenomena have demonstrated that various new materials are being used to create various distinctive designs in commercial spaces. The result of this study shall act as basic reference materials in devising visual designs needed in creating various visual perception spaces.