• Title/Summary/Keyword: Image pixel

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Study of Three-dimensional Display System Based on Computer-generated Integral Photography

  • Lee, Byoung-Ho;Jung, Sung-Yong;Min, Sung-Wook;Park, Jae-Hyeung
    • Journal of the Optical Society of Korea
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    • v.5 no.2
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    • pp.43-48
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    • 2001
  • A three-dimensional (3D) display system based on computer-generated integral photography (CGIP) is proposed and its feasibility is discussed. Instead of the pickup process in conventional If, the elemental images of imaginary objects are computer-generated. Using these images, we observed autostereoscopic 3D images in full color and full parallax. The lateral and depth resolutions of the integrated images are limited by some factors such as the image position, object thickness, the lens width, and the pixel size of display panel.

Study of Three-Dimensional Display System Based on Computer-Generated Integral Photography

  • Lee, Byoung-Ho;Jung, Sung-Young;Min, Sung-Wook;Park, Jae-Hyeung
    • Journal of the Optical Society of Korea
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    • v.5 no.3
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    • pp.117-122
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    • 2001
  • A three-dimensional (3D) display system based on computer-generated integral photography (CGIP) is proposed and its feasibility is discussed. Instead of the pickup process in conventional IP, the elemental images of imaginary objects are computer-generated. Using these images, we observed autostereoscopic 3D images in full color and full parallax. The lateral and depth resolutions of the integrated images are limited by some factors such as the image position, object thickness, the lens width, and the pixel size of display panel.

Radiographic analysis of the management of tooth extractions in head and neck-irradiated patients: a case series

  • Oliveira, Samanta V.;Vellei, Renata S.;Heguedusch, Daniele;Domaneschi, Carina;Costa, Claudio;Gallo, Camila de Barros
    • Imaging Science in Dentistry
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    • v.51 no.3
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    • pp.323-328
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    • 2021
  • Tooth extraction after head and neck radiotherapy exposes patients to an increased risk for osteoradionecrosis of the jaw. This study reports the results of a radiographic analysis of bone neoformation after tooth extraction in a case series of patients who underwent radiation therapy. No patients developed osteoradionecrosis within a follow-up of 1 year. Complete mucosal repair was observed 30 days after surgery, while no sign of bone formation was observed 2 months after the dental extractions. Pixel intensity and fractal dimension image analyses only showed significant bone formation 12 months after the tooth extractions. These surgical procedures must follow a strict protocol that includes antibiotic prophylaxis and therapy and complete wound closure, since bone formation at the alveolar socket occurs at a slower pace in patients who have undergone head and neck radiotherapy.

Implementation of Interactive Self-portrait using Real-time News Stream

  • Lim, Sooyeon
    • International journal of advanced smart convergence
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    • v.7 no.4
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    • pp.147-153
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    • 2018
  • This study is about the interactive self-portrait which provides the experience of self-consciousness reflection of the viewer to modern people who are easily alienated in rapid social change. We proposed interactive self-portrait is implemented by an interactive mirror that reproduces the appearance of the viewer acquired using a webcam. The interactive mirror, which can directly project its own image, is drawn by searching news articles in real time and using the extracted characters as pixel information in real time. The viewer has the opportunity to experience a new style of active self-expression while watching his/herself composed of news characters that are issues of modern society. The virtual self-portrait designed with news characters can attract viewers' attention by visually expressing the interests of modern people and can act as an incentive to generate positive interaction.

A Novel Cross Channel Self-Attention based Approach for Facial Attribute Editing

  • Xu, Meng;Jin, Rize;Lu, Liangfu;Chung, Tae-Sun
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.15 no.6
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    • pp.2115-2127
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    • 2021
  • Although significant progress has been made in synthesizing visually realistic face images by Generative Adversarial Networks (GANs), there still lacks effective approaches to provide fine-grained control over the generation process for semantic facial attribute editing. In this work, we propose a novel cross channel self-attention based generative adversarial network (CCA-GAN), which weights the importance of multiple channels of features and archives pixel-level feature alignment and conversion, to reduce the impact on irrelevant attributes while editing the target attributes. Evaluation results show that CCA-GAN outperforms state-of-the-art models on the CelebA dataset, reducing Fréchet Inception Distance (FID) and Kernel Inception Distance (KID) by 15~28% and 25~100%, respectively. Furthermore, visualization of generated samples confirms the effect of disentanglement of the proposed model.

Error Analysis of Flow Velocity Measured through Granular PIV Based on Interrogation Area, Frame Per Second, and Video Resolution (상관 영역과 초당 촬영 수와 해상도에 따른 Granular PIV에서의 유동 속도의 오차 분석)

  • Choi, Jongeun;Park, Junyoung
    • Journal of the Korean Society of Manufacturing Process Engineers
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    • v.20 no.7
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    • pp.58-65
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    • 2021
  • Research on general particle image velocimetry (PIV) has been conducted extensively, but studies on granular PIV are relatively insufficient. In addition, the parameters used for analyzing granular PIV need to be optimized. In this study, we analyzed the error of velocity measurements based on the interrogation area (64-192 pixel), frame per second (30-120 FPS), and video resolution [ultrahigh definition (UHD) and high definition (HD)] within the velocity range typically measured in hoppers. The estimated errors of the granular PIV were below 5%, which is generally acceptable. However, considering the data reliability, the flow velocity in the hopper could be measured with less than 5% error at 120 FPS or higher in the HD resolution and 30 FPS or higher in the UHD resolution.

Design and Implementation of Image Search System using Mobile Internet (모바일 인터넷을 이용한 이미지검색 시스템 설계 및 구현)

  • Song, Eunjee;Kim, Geunho
    • Annual Conference of KIPS
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    • 2009.04a
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    • pp.1194-1197
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    • 2009
  • 최근 무선인터넷 기술은 급속히 발전하고 있으며 새로운 모바일 미디어를 통하여 일상생활에 직간접적으로 많은 영향을 끼치고 있다. 본 연구에서는 모바일 폰에 의한 촬영으로 이미지의 픽셀(Pixel) 정보를 얻어내고 DB에 저장된 레퍼런스(Reference)이미지와 비교하여 근접 값을 검색하는 알고리즘을 제안한다. 이것은 눈앞에 보이는 사물에 대한 정보에 대하여 소지하고 있는 모바일 폰으로 이미지를 촬영한 후 인터넷 검색을 통해 알 수 있는 가능성을 제시한다. 실제 촬영 이미지에서 한글 문자를 검색한 후 인터넷을 이용해 그에 대한 정보를 검색하는 시스템을 구현 하였다.

COUNTING OF FLOWERS BASED ON K-MEANS CLUSTERING AND WATERSHED SEGMENTATION

  • PAN ZHAO;BYEONG-CHUN SHIN
    • Journal of the Korean Society for Industrial and Applied Mathematics
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    • v.27 no.2
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    • pp.146-159
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    • 2023
  • This paper proposes a hybrid algorithm combining K-means clustering and watershed algorithms for flower segmentation and counting. We use the K-means clustering algorithm to obtain the main colors in a complex background according to the cluster centers and then take a color space transformation to extract pixel values for the hue, saturation, and value of flower color. Next, we apply the threshold segmentation technique to segment flowers precisely and obtain the binary image of flowers. Based on this, we take the Euclidean distance transformation to obtain the distance map and apply it to find the local maxima of the connected components. Afterward, the proposed algorithm adaptively determines a minimum distance between each peak and apply it to label connected components using the watershed segmentation with eight-connectivity. On a dataset of 30 images, the test results reveal that the proposed method is more efficient and precise for the counting of overlapped flowers ignoring the degree of overlap, number of overlap, and relatively irregular shape.

Hole Filling Technique for Depth Map using Color Image Pixel Clustering (컬러 영상 화소 분류를 이용한 깊이 영상의 홀을 채우는 기법)

  • Lee, Geon-Won;Han, Jong-Ki
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2020.07a
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    • pp.55-57
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    • 2020
  • 실감미디어의 수요가 높아짐에 따라, 실감 미디어 컨텐츠 제작에 반드시 필요한 깊이영상에 대한 중요성이 커지고 있다. 다시점 영상으로부터 계산된 깊이 영상은 물체 주위와 배경 영역에 홀을 가지고 있다. 이러한 깊이영상에서의 홀을 채울 때, 이에 대응하는 컬러영상의 색상 특성을 고려하는 방법을 제안한다. 본 논문에서는 컬러 영상의 화소들을 색상 유사성을 이용하여 클래스로 분류하고, 홀의 깊이정보를 예측할 때 같은 클래스의 유효한 깊이값 만을 사용하는 방법을 소개한다. 제안하는 방법을 사용하면 깊이영상의 홀을 효율적으로 채워 넣을 수 있다. 실감미디어 제작에 있어 제안하는 방법을 사용한다면, 사실감 있는 깊이 정보를 얻을 수 있다.

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Automatic indoor progress monitoring using BIM and computer vision

  • Deng, Yichuan;Hong, Hao;Luo, Han;Deng, Hui
    • International conference on construction engineering and project management
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    • 2017.10a
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    • pp.252-259
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    • 2017
  • Nowadays, the existing manual method for recording actual progress of the construction site has some drawbacks, such as great reliance on the experience of professional engineers, work-intensive, time consuming and error prone. A method integrating computer vision and BIM(Building Information Modeling) is presented for indoor automatic progress monitoring. The developed method can accurately calculate the engineering quantity of target component in the time-lapse images. Firstly, sample images of on-site target are collected for training the classifier. After the construction images are identified by edge detection and classifier, a voting algorithm based on mathematical geometry and vector operation will divide the target contour. Then, according to the camera calibration principle, the image pixel coordinates are conversed into the real world Coordinate and the real coordinates would be corrected with the help of the geometric information in BIM model. Finally, the actual engineering quantity is calculated.

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