• Title/Summary/Keyword: Intrinsic Image

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A Study on the Digital Image Creating Through Emotional Dimension (감성어휘을 통한 디지털이미지 크리에이팅에 관한 연구)

  • Park Sang-Jin;Kwak Hoon-Sung;Seo Mi-Ra
    • The Journal of the Korea Contents Association
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    • v.6 no.4
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    • pp.89-97
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    • 2006
  • Such changes that the digital paradigm brought propels a change of the value system itself in the existing society so that a way of thinking that differentiates oneself from others is getting much stronger. As public interests are higher in the image production on the internet, such authoring environments as development of related technologies, expansibility of information, and systematization of available information continue to change. Therefore, a variety of unique image presentations that fit to the changed environments are necessary and an expression method is indispensable for such image production. This study focuses on digital image creating in which a synectics method is applied. It suggests digital image application methods and examples that contain not just simple image distortion or variation but intrinsic significance. It is believed that it will be of good use to produce a variety of unique and innate digital images in the end.

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3D Image Construction Using Color and Depth Cameras (색상과 깊이 카메라를 이용한 3차원 영상 구성)

  • Jung, Ha-Hyoung;Kim, Tae-Yeon;Lyou, Joon
    • Journal of the Institute of Electronics Engineers of Korea SC
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    • v.49 no.1
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    • pp.1-7
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    • 2012
  • This paper presents a method for 3D image construction using the hybrid (color and depth) camera system, in which the drawbacks of each camera can be compensated for. Prior to an image generation, intrinsic parameters and extrinsic parameters of each camera are extracted through experiments. The geometry between two cameras is established with theses parameters so as to match the color and depth images. After the preprocessing step, the relation between depth information and distance is derived experimentally as a simple linear function, and 3D image is constructed by coordinate transformations of the matched images. The present scheme has been realized using the Microsoft hybrid camera system named Kinect, and experimental results of 3D image and the distance measurements are given to evaluate the method.

Brand Images of National Medium-low Priced Casual Clothing Through Perceptual Mapping (국내 중저가 캐쥬얼 의류의 상표이미지 분석 -요인분석을 이용한 인식도를 중심으로-)

  • 이정주;진병호
    • Journal of the Korean Society of Clothing and Textiles
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    • v.19 no.6
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    • pp.1040-1050
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    • 1995
  • The Purposes of this study were to investigate the choice dimensions in purchasing the medium-low priced casual clothing, the influence of them on the preference of medium-low priced casual clothing, and the brand images of six medium-low priced casual clothing using the perceptual map. The Questionnaires were administered to 540 college students living in Seoul (340) and County of Chungnam(200). The data were analyzed by frequency, factor analysis and multiple regression analysis. The results were summarized as follows: 1) The choice dimensions in purchasing the medium-low price casual clothing were identified as exclusiveness/style, intrinsic characteristics, promotion and price/distance. 2) Exclusiveness/style dimension influenced most on the preference of medium-low priced casual, intrinsic characteristics, price/distance dimension were followed. Promotion dimension appeared to have an insignificant influence. These results were consistent in both Seoul and the County of Chungnam. 3) Perceptual mapping showed Hunt and J-vim had the best brand images, Maypole and Omphalos were followed. Tipi Cosi and I-land appeared to have the worst brand image. The college students living in the County of Chungnam perceived that all six brands of medium low priced casual clothing to be exclusive in their style. In addition, it was perceived less promoted, more expensive and farther than Seoul counterparts.

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Acceleration Method of Inter Prediction using Advanced SIMD (Advanced SIMD를 이용한 화면 간 예측 고속화방법)

  • Kim, Wan-Su;Lee, Jae-Heung
    • Journal of IKEEE
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    • v.16 no.4
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    • pp.382-388
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    • 2012
  • An H.264/AVC fast motion estimation methodology is presented in this paper. Advanced SIMD based NEON which is one of the parallel processing methods is supported under the ARM Cortex-A9 dual-core platform. NEON is applied to a full search technique with one of the various motion estimation methods and SAD operation count of each macroblock is reduced to 1/4. Pixel values of the corresponding macroblock are assigned to eight 16-bit NEON registers and Intrinsic function in NEON architecture carried out 128 bits arithmetic operations at the same time. In this way, the exact motion vector with the minimum SAD value among the calculated SAD values can be designated. Experimental results show that performance gets improved 30% above average in accordance with the size of image and macroblock.

Luxury Fashion Brands Case Analysis of Using Metaverse (럭셔리 패션 브랜드의 메타버스 활용 사례 연구)

  • Kim, Yunmi;Kim, Jinyoung
    • Journal of Fashion Business
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    • v.26 no.3
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    • pp.50-71
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    • 2022
  • This study aimed to present pioneering data on the use of Metaverse through a case study on the use of Metaverse by luxury brands and to reveal the intrinsic value of Metaverse in the fashion industry. The study was conducted based on literature data such as various articles and papers related to Metaverse and cases of luxury brands. For luxury brands data, we used Interbrand and LYST. As a result, Gucci, Louis Vuitton, Balenciaga, and Burberry were selected. Examples of the use of luxury brands' Metaverse use include; Gucci actively embraced digital technology and used Metaverse technology for the most diverse purposes such as promoting new products, opening seasons, and experiences. Louis Vuitton and Balenciaga focused on the entertainment and games. Burberry focused on promoting and experimenting with new products. As a result of the study, the intrinsic value of the Metaverse is as follows. First, there are no restrictions on time, scale, and institution. Second, active information acceptance is possible; Information can be selectively accommodated through participation and communication using Metaverse. Third, customers and businesses interact in equal positions. As customers participate and communicate, their ties with companies deepen, thus the can create a brand image together. Through Metaverse fashion, customers experiences are not limited to reality and the can directly access optional information. Based on the above examples and values, we hope those fashion companies and Metaverse media will innovate desings to match the trends and the seasons.

The Effect of Indonesian's Korean National Image and Product Evaluation on Purchase Intension of Korean Fashion Product (인도네시아인의 한국 국가 이미지와 패션 제품 평가가 제품 구매의도에 미치는 영향)

  • Na, Sung-Min;Lee, Yoona;Lee, Ji-Yeon
    • Journal of the Korea Fashion and Costume Design Association
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    • v.18 no.2
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    • pp.79-92
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    • 2016
  • The purpose of this study was to examine the effect of Indonesian's Korean national image and product evaluation on purchase intension of Korean fashion products. The survey was carried out on November, 2014 through online. And the subjects of this study were living in Indonesia. The results of this study were as follows. First, in Indonesia customers showed favorable attitudes towards Korean national image and the assessment of Korean fashion products. Also their purchase intension of products was comparatively high. The customers who purchased more Korean fashion products were more likely to have high purchase intension of them. Second, among the three factors of Korean national image, the advancement and national character had positive influence on the intrinsic attributes of Korean fashion products. Also, the product competitiveness and national character had positive effect on the extrinsic attributes. Third, the product competitiveness and extrinsic attributes had positive influence on the purchase intension on them. In conclusion, Korean national image affects evaluation and purchase intension of Korean fashion products. It is necessary to improve Korea national image within Indonesia fashion market. And it will be a good way of marketing to promote product power of Korea fashion product to Indonesian.

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Head tracking system using image processing (영상처리를 이용한 머리의 움직임 추적 시스템)

  • 박경수;임창주;반영환;장필식
    • Journal of the Ergonomics Society of Korea
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    • v.16 no.3
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    • pp.1-10
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    • 1997
  • This paper is concerned with the development and evaluation of the camera calibration method for a real-time head tracking system. Tracking of head movements is important in the design of an eye-controlled human/computer interface and the area of virtual environment. We proposed a video-based head tracking system. A camera was mounted on the subject's head and it took the front view containing eight 3-dimensional reference points(passive retr0-reflecting markers) fixed at the known position(computer monitor). The reference points were captured by image processing board. These points were used to calculate the position (3-dimensional) and orientation of the camera. A suitable camera calibration method for providing accurate extrinsic camera parameters was proposed. The method has three steps. In the first step, the image center was calibrated using the method of varying focal length. In the second step, the focal length and the scale factor were calibrated from the Direct Linear Transformation (DLT) matrix obtained from the known position and orientation of the camera. In the third step, the position and orientation of the camera was calculated from the DLT matrix, using the calibrated intrinsic camera parameters. Experimental results showed that the average error of camera positions (3- dimensional) is about $0.53^{\circ}C$, the angular errors of camera orientations are less than $0.55^{\circ}C$and the data aquisition rate is about 10Hz. The results of this study can be applied to the tracking of head movements related to the eye-controlled human/computer interface and the virtual environment.

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Prestack migration using seismic interferometry (탄성파 간섭파를 이용한 중합전 구조보정)

  • Kim, Young-Wan;Jang, Seong-Hyung;Yoon, Wang-Jung;Suh, Sang-Yong
    • 한국신재생에너지학회:학술대회논문집
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    • 2008.10a
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    • pp.203-207
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    • 2008
  • Prestack depth migration is used to image for complex geological structure such as faults, folds, and subsalt. In this case, it is widely used the surface reflection data as a input data. However, the surface reflection data have intrinsic problems to image the subsalt and the salt flank due to the complex wavefields and multiples which come from overburden. For overcoming the structural defect of the surface reflection data in the imaging, I used the virtual sources in terms of seismic interferometry to image the subsurface and suppress the multiples using the velocity model of the lower part of the virtual sources. The results of the prestack depth migration using virtual source gathers and velocity model below receivers are similar geological interfaces to the results from shot gathers of the conventional ocean bottom seismic survey. And especially artificial interfaces by multiples were suppressed without applying any other data processing to eliminate multiples. This study results by numerical modeling can make a valuable imaging tool when it is applied to satisfied field data for specific condition.

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Image Segmentation of Fuzzy Deep Learning using Fuzzy Logic (퍼지 논리를 이용한 퍼지 딥러닝 영상 분할)

  • Jongjin Park
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.23 no.5
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    • pp.71-76
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    • 2023
  • In this paper, we propose a fuzzy U-Net, a fuzzy deep learning model that applies fuzzy logic to improve performance in image segmentation using deep learning. Fuzzy modules using fuzzy logic were combined with U-Net, a deep learning model that showed excellent performance in image segmentation, and various types of fuzzy modules were simulated. The fuzzy module of the proposed deep learning model learns intrinsic and complex rules between feature maps of images and corresponding segmentation results. To this end, the superiority of the proposed method was demonstrated by applying it to dental CBCT data. As a result of the simulation, it can be seen that the performance of the ADD-RELU fuzzy module structure of the model using the addition skip connection in the proposed fuzzy U-Net is 0.7928 for the test dataset and the best.

Catadioptric Omnidirectional Stereo Imaging System and Reconstruction of 3-dimensional Coordinates (Catadioptric 전방향 스테레오 영상시스템 및 3차원 좌표 복원)

  • Kim, Soon-Cheol;Yi, Soo-Yeong
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.16 no.6
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    • pp.4108-4114
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    • 2015
  • An image acquisition by using an optical mirror is called as a catadioptric method. The catadioptric imaging method is generally used for acquisition of 360-degree all directional visual information in an image. An exemplar omnidirectional optical mirror is the bowl-shaped hyperbolic mirror. In this paper, a single camera omnidirectional stereo imaging method is studied with an additional concave lens. It is possible to obtain 3 dimensional coordinates of environmental objects from the omnidirectional stereo image by matching the stereo image having different view points. The omnidirectional stereo imaging system in this paper is cost-effective and relatively easy for correspondence matching because of consistent camera intrinsic parameters in the stereo image. The parameters of the imaging system are extracted through 3-step calibration and the performance for 3-dimensional coordinates reconstruction is verified through experiments in this paper. Measurable range of the proposed imaging system is also presented by depth-resolution analysis.