• Title/Summary/Keyword: Space Images

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A study on the characteristics of brain image and yeongsang expression in the digital information environment (디지털 정보환경에 있어 뇌내 이미지와 영상표현의 특성에 관한 연구)

  • 이규옥
    • Archives of design research
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    • v.16 no.2
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    • pp.323-334
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    • 2003
  • This study is focused on subjective images that are produced before visualization in the digital information environment and on characteristics of objective, dynamic image expression that specifies the subjective images. In this study, the visual world that works in the action of "see"is expanded into vision of eyes, vision of brain, and vision of camera. Also we have redefined the definitions of image and its materialized image, yeongsang. It is defined that image contains a strong meaning of consciousness and mind, and that yeongsang involves vision in which constantly changing information of light is created and reproduced by physical processes. We made it clear that image expression in the 21 st century is becoming more generalized, simplified, and concentrated, by the digital technology, from existing specific non-real images to "informationalized" non-real images. This means that there exists an intrinsic difference in the expressional form of the modern analog environment and that of the recent digital environment in the area of yeongsang communication. Along with development of technology, image information raises plastic reality through indirect experience in the virtual space by expanding the sensual faculty of human. However, there also is a tendency for humans to rely more on technology instead of utilizing their creative faculty. Image expression by“the digital information environment” in the 21st century will pursue two sides; one is to shift from external expression of the human body in the cyber space to internal expression, and the other is to internalize the image world and make it connected worldwide. Further research is necessary in these fields.ary in these fields.

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Characteristics of Remote Sensors on KOMPSAT-I (다목적 실용위성 1호 탑재 센서의 특성)

  • 조영민;백홍렬
    • Korean Journal of Remote Sensing
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    • v.12 no.1
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    • pp.1-16
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    • 1996
  • Korea Aerospace Research Institute(KARI) is developing a Korea Multi-Purpose Satellite I(KOMPSAT-I) which accommodates Electro-Optical Camera(EOC), Ocean Color Imager(OCI), Space Physics Sensor(SPS) for cartography, ocean color monitoring, and space environment monitoring respectively. The satellite has the weight of about 500 kg and is operated on the sun synchronized orbit with the altitude of 685km, the orbit period of 98 minutes, and the orbit revisit time of 28days. The satellite will be launched in the third quarter of 1999 and its lifetime is more than 3 years. EOC has cartography mission to provide images for the production of scale maps, including digital elevation models, of Korea from a remote earth view in the KOMPSAT orbit. EOC collects panchromatic imagery with the ground sample distance(GSD) of 6.6m and the swath width of 15km at nadir through the visible spectral band of 510-730 nm. EOC scans the ground track of 800km per orbit by push-broom and body pointed method. OCI mission is worldwide ocean color monitoring for the study of biological oceanography. OCI is a multispectral imager generating 6 color ocean images with and <1km GSD by whisk-broom scanning method. OCI is designed to provide on-orbit spectral band selectability in the spectral range from 400nm to 900nm. The color images are collected through 6 primary spectral bands centered at 443, 490, 510, 555, 670, 865nm or 6 spectral bands selected in the spectral range via ground commands after launch. SPS consists of High Energy Particle Detector(HEPD) and Ionosphere Measurement Sensor(IMS). HEPD has mission to characterize the low altitude high energy particle environment and to study the effects of radiation environment on microelectronics. IMS measures densities and temperature of electrons in the ionosphere and monitors the ionospheric irregularities in KOMPSAT orbit.

Deep Learning Approach for Automatic Discontinuity Mapping on 3D Model of Tunnel Face (터널 막장 3차원 지형모델 상에서의 불연속면 자동 매핑을 위한 딥러닝 기법 적용 방안)

  • Chuyen Pham;Hyu-Soung Shin
    • Tunnel and Underground Space
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    • v.33 no.6
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    • pp.508-518
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    • 2023
  • This paper presents a new approach for the automatic mapping of discontinuities in a tunnel face based on its 3D digital model reconstructed by LiDAR scan or photogrammetry techniques. The main idea revolves around the identification of discontinuity areas in the 3D digital model of a tunnel face by segmenting its 2D projected images using a deep-learning semantic segmentation model called U-Net. The proposed deep learning model integrates various features including the projected RGB image, depth map image, and local surface properties-based images i.e., normal vector and curvature images to effectively segment areas of discontinuity in the images. Subsequently, the segmentation results are projected back onto the 3D model using depth maps and projection matrices to obtain an accurate representation of the location and extent of discontinuities within the 3D space. The performance of the segmentation model is evaluated by comparing the segmented results with their corresponding ground truths, which demonstrates the high accuracy of segmentation results with the intersection-over-union metric of approximately 0.8. Despite still being limited in training data, this method exhibits promising potential to address the limitations of conventional approaches, which only rely on normal vectors and unsupervised machine learning algorithms for grouping points in the 3D model into distinct sets of discontinuities.

Development of the Weather Detection Algorithm using CCTV Images and Temperature, Humidity (CCTV 영상과 온·습도 정보를 이용한 기후검출 알고리즘 개발)

  • Park, Beung-Raul;Lim, Jong-Tea
    • Journal of Korea Multimedia Society
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    • v.10 no.2
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    • pp.209-217
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    • 2007
  • This paper proposed to a detection scheme of weather information that is a part of CCTV Images Weather Detection System using CCTV images and Temperature, Humidity. The previous Partial Weather Detection System uses how to acquire weather information using images on the Road. In the system the contrast and RGB Values using clear images are gained. This information is distributed a input images to cloud, rain, snow and fog images. That is, this information is compared the snow and the fog images for acquisition more correctness information us ing difference images and binary images. Currently, We use to environment sense system, but we suggest a new Weather Detection Algorithm to detect weather information using CCTV images. Our algorithm is designed simply and systematically to detect and separate special characteristics of images from CCTV images. and using temperature & humidity in formation. This algorithm, there is more complex to implement than how to use DB with high overhead of time and space in the previous system. But our algorithm can be implement with low cost' and can be use the system in real work right away. Also, our algorithm can detect the exact information of weather with adding in formation including temperature, humidity, date, and time. At last, this paper s how the usefulness of our algorithm.

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A Study on the Efect of Brand Personality of Fashion Flagship Store on Brand Loyalty in Interior Design - Focus on the Fashion Flagship Store of Louis Vuitton - (패션 플래그쉽 스토어 인테리어디자인의 브랜드 개성과 브랜드 충성도의 영향관계에 관한 연구 - 루이뷔통의 플래그쉽 스토어를 중심으로 -)

  • Cho, Yeon-Joo;Lee, Ju-Hyeong;Park, Chan-Il
    • Korean Institute of Interior Design Journal
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    • v.20 no.6
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    • pp.62-70
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    • 2011
  • Fashion flagship store is to maximize brand's image, not for sales. As a value for consumption is changing into expression of individual styles and egos through brands' images based on their personalities rather than products, today, people are laying stress on expression of brands' personalities with spatial design of fashion flagship store to create differentiated brand images. This study was designed to examine brand personalities expressed in fashion flagship store's spatial design, and spatial components and ways of expression to influence them, and analyze how brand personality has an impact on brand loyalty. According to the results of this study, brand personality in fashion flagship store's space design of Louis Vuitton has three characteristics such as sincerity, vitality and tenacity, and display, pattern, furniture, color and wall have high influences on expression of its brand personality. Also, the higher brand personality got, the higher brand loyalty went up. These results imply that fashion flagship store's space design expressing differentiated brand personalities influences customers' brand loyalty to constantly use the brands, and thus is highly important for brand marketing of this day.

A study of creative humor represented in Moschino's works (모스키노의 패션 세계에 반영된 창조적 유머)

  • Kim, Sun Young
    • The Research Journal of the Costume Culture
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    • v.23 no.4
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    • pp.628-643
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    • 2015
  • This study is to assist in developing creative designs based on the humor available in the fashion world of Moschino. For the research method, this writing examined literature on humor and Moschino's fashion world and analyzed Moschino's fashion collection, show window, Maison Moschino, and collaborative products to conduct an empirical analysis of humor shown to the fashion media. The research results are as follows. The humor in Moschino's fashion appeared in the form of surrealistic humor with the depaysement technique, deconstructive wit in clothing, such as distortion, change, or exaggeration, and textual humor, including brand symbols, logos, and graffiti. Collection pieces indicated the brand's confirmative identity based on humor with the surrealistic depaysement technique and deconstructive wit through irregular phenomena, such as change, distortion, exaggeration, and illusion in clothing form. Additionally, such attributes added to Moschino's wit and humor in decorative costume components as graphic images, graffiti, and brand symbols, including smile, love, and reversal. The show window display delivered surprises and smiles through the production of surrealistic space borrowed from various objects. In particular, performance with surrealistic images helped to show the characteristics of parodic humor. Maison Moschino was a surrealistic space for the concept of the fairy tale and for practical experience, thus working as a communication channel for humor and emotion. Collaborative products also clearly reflected the identity of the designer's own humor, which showed scarcity value as well as differentiation.

Scale Space Filtering based Parameters Estimation for Image Region Segmentation (영상 영역 분할을 위한 스케일 스페이스 필터링 기반 파라미터 추정)

  • Im, Jee-Young;Kim, Myoung-Hee
    • Journal of the Korea Computer Graphics Society
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    • v.2 no.2
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    • pp.21-28
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    • 1996
  • The nature of complexity of medical images makes them difficult to segment using standard techniques. Therefore the usual approaches to segment images continue to predominantly involve manual interaction. But it tediously consumes a good deal of time and efforts of the experts. Hereby a nonmanual parameters estimation which can replace the manual interaction is needed to solve the problem of redundant manual works for an image segmentation. This paper attempts to estimate parameters for an image region segmentation using Scale Space Filtering. This attempt results in estimating the number of regions, their boundary and each representatives to be segmented 2-dimensionally and 3-dimensionally. Using this algorithm, we may diminish the problem of wasted time and efforts for finding prerequisite segmentation parameters, and lead the relatively reasonable result of region segmentation.

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AKARI OBSERVATIONS OF THE FLUCTUATIONS OF THE NEAR-INFRARED BACKGROUND II

  • Seo, H.J.;Lee, H.M.;Matsumoto, T.;Jeong, W.S.;Lee, M.G.;Pyo, J.
    • Publications of The Korean Astronomical Society
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    • v.32 no.1
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    • pp.327-329
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    • 2017
  • We report a spatial fluctuation analysis of the sky brightness in the near-infrared from observations towards the north ecliptic pole (NEP) by AKARI at 2.4 and $3.2{\mu}m$. As a follow up study of our previous work on the Monitor field of AKARI, we used NEP deep survey data, which covered a circular area of about 0.4 square degrees, in order to extend fluctuation analysis at angular scales up to 1000". After pre-processing, additional correction procedures were done to correct time varying components and instrumental effects such as MUXbleed. To remove resolved objects, we applied $2{\sigma}$ clipping and point spread function (PSF) subtraction. We finally obtained mosaicked images which can be used for the study of various diffuse emissions in the near-infrared sky and found that there are spatial structures in the mosaicked images using a power spectrum analysis.

Gesture Recognition by Analyzing a Trajetory on Spatio-Temporal Space (시공간상의 궤적 분석에 의한 제스쳐 인식)

  • 민병우;윤호섭;소정;에지마 도시야끼
    • Journal of KIISE:Software and Applications
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    • v.26 no.1
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    • pp.157-157
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    • 1999
  • Researches on the gesture recognition have become a very interesting topic in the computer vision area, Gesture recognition from visual images has a number of potential applicationssuch as HCI (Human Computer Interaction), VR(Virtual Reality), machine vision. To overcome thetechnical barriers in visual processing, conventional approaches have employed cumbersome devicessuch as datagloves or color marked gloves. In this research, we capture gesture images without usingexternal devices and generate a gesture trajectery composed of point-tokens. The trajectory Is spottedusing phase-based velocity constraints and recognized using the discrete left-right HMM. Inputvectors to the HMM are obtained by using the LBG clustering algorithm on a polar-coordinate spacewhere point-tokens on the Cartesian space .are converted. A gesture vocabulary is composed oftwenty-two dynamic hand gestures for editing drawing elements. In our experiment, one hundred dataper gesture are collected from twenty persons, Fifty data are used for training and another fifty datafor recognition experiment. The recognition result shows about 95% recognition rate and also thepossibility that these results can be applied to several potential systems operated by gestures. Thedeveloped system is running in real time for editing basic graphic primitives in the hardwareenvironments of a Pentium-pro (200 MHz), a Matrox Meteor graphic board and a CCD camera, anda Window95 and Visual C++ software environment.

Fuzzy Scheme for Extracting Linear Features (선형적 특징을 추출하기 위한 퍼지 후프 방법)

  • 주문원;최영미
    • Journal of Korea Multimedia Society
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    • v.2 no.2
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    • pp.129-136
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    • 1999
  • A linear feature often provide sufficient information for image understanding and coding. An objective of the research reported in this paper is to develop and analyze the reliable methods of extracting lines in gray scale images. The Hough Transform is known as one of the optimal paradigms to detect or identify the linear features by transforming edges in images into peaks in parameter space. The scheme proposed here uses the fuzzy gradient direction model and weights the gradient magnitudes for deciding the voting values to be accumulated in parameter space. This leads to significant computational savings by restricting the transform to within some support region of the observed gradient direction which can be considered as a fuzzy variable and produces robust results.

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