• Title/Summary/Keyword: gallery image

Search Result 49, Processing Time 0.024 seconds

Development of a 30 Virtual Gallery for Art Education (WEB 기반 3D 가상 전시공간에서의 감상학습을 위한 코스웨어 설계 및 구현)

  • 박경남;김응곤;송승헌;허영남;박경숙;유봉길
    • Proceedings of the Korean Information Science Society Conference
    • /
    • 2001.10b
    • /
    • pp.511-513
    • /
    • 2001
  • 본 연구에서는 VRML 저작 툴을 이용한 3차원 가상 전시공간을 구성하여 보다 현실감 있고 상호작용적인 학습공간을 제공하고 학습동기를 유발하는 체험학습 공간을 설계하고 구현하는데 초점을 맞췄다. 본 연구에서는 Photo Vista, Object Modeler, Reality Studio 등을 가지고 Panorama Image와 3D Object 등을 구현하는 방법을 이용하였다. 우리는 이 가상 전시공간이 학생들의 미술교육에서 현실감 있는 작품감상으로 학생들의 심미적인 면에 얼마나 많은 영향을 미치는지를 연구하고자 한다.

  • PDF

Ambulatory Aid Device for the Visually Handicapped Person Using Image Recognition (화상인식을 이용한 시각장애인용 보행보조장치)

  • Park Sang-Jun;Shin Dong-Won
    • Journal of Institute of Control, Robotics and Systems
    • /
    • v.12 no.6
    • /
    • pp.568-572
    • /
    • 2006
  • This paper presents the device of recognizing image of the studded paving blocks, transmitting, the information by vibration to a visually handicapped person. Usually the blind uses the walking stick to recognize the studded paving block. This research uses a PCA (Principal Component Analysis) based image processing approach for recognizing the paving blocks. We classify the studded paving blocks into 5 classes, that is, vertical line block, right-declined line block, left-declined line block, dotted block and flat block. The 8 images for each of 5 classes are captured for each block by 112*120 pixels, then the eigenvectors are obtained in magnitude order of eigenvectors by using principal component analysis. The principal components for images can be calculated using projection of transformation matrix composed of eigenvectors. The classification has been executed using Euclidean's distance, so the block having minimum distance with a image is chosen as matched one. The result of classification is transmitted to the blind by electric vibration signals with different magnitudes and frequencies.

A Study of Brand Image from The Resting Place of Housing Cultural Center (주택문화관의 휴식공간에서 나타난 브랜드이미지에 관한 연구)

  • Lee, Hyun-Ji;Han, Hae-Ryon
    • Proceedings of the Korean Institute of Interior Design Conference
    • /
    • 2008.05a
    • /
    • pp.123-127
    • /
    • 2008
  • This study is to analyze brand image of housing cultural center to understand how it is shown in the resting place of housing cultural center. We chose the object housing cultural center and made checklist to understand space condition and brand image reflection. housing cultural center should be reborn as a cultural rest space for customers and residents, and especially new definition of function and concept of resting place is necessary. The resting place of housing cultural center is not just offering an extra room for customers but a link-space and an intermediation-space to link the functions of each space where customers stay for long time. So there should be proper design that expresses the brand image for resting place. From the research, we found that the resting place has cafe like design with tables and chairs. Some of them are gallery-cafe like or book-cafe like to emphasize the cultural aspects. But they are not proper to express brand image. So there should be detailed guidelines of design for resting place of housing cultural center to express brand image.

  • PDF

A Novel Approach to Mugshot Based Arbitrary View Face Recognition

  • Zeng, Dan;Long, Shuqin;Li, Jing;Zhao, Qijun
    • Journal of the Optical Society of Korea
    • /
    • v.20 no.2
    • /
    • pp.239-244
    • /
    • 2016
  • Mugshot face images, routinely collected by police, usually contain both frontal and profile views. Existing automated face recognition methods exploited mugshot databases by enlarging the gallery with synthetic multi-view face images generated from the mugshot face images. This paper, instead, proposes to match the query arbitrary view face image directly to the enrolled frontal and profile face images. During matching, the 3D face shape model reconstructed from the mugshot face images is used to establish corresponding semantic parts between query and gallery face images, based on which comparison is done. The final recognition result is obtained by fusing the matching results with frontal and profile face images. Compared with previous methods, the proposed method better utilizes mugshot databases without using synthetic face images that may have artifacts. Its effectiveness has been demonstrated on the Color FERET and CMU PIE databases.

A Study on Current State and Typology of Korea Company Gallery since 1990 (1990년대 이후 한국 기업미술관의 현황 및 유형에 관한 연구)

  • Kim, Hyeok-Ki
    • Journal of the Korea Academia-Industrial cooperation Society
    • /
    • v.15 no.5
    • /
    • pp.3203-3212
    • /
    • 2014
  • Company. s support for culture and arts started from mecenat activities. After then, it played a role as a tool of the company to satisfy consumers. cultural desires and improve the company. s image. As time goes by, it became a culture marketing which encourages business activities. Therefore, many companies try to develop their culture marketing activities in various fields. Especially art marketing has increased consumers. expectation and interest about art activities. Also, art marketing has become important as it has helped consumers to have critical view about products and improve their standard of life. As a way of art marketing, a company provides diverse exhibitions, sponsors and education programs related to art in either a specific space of the company building or a separate place. It can be said that this example of art marketing is a kind of an image marketing and public welfare at the same time. This article presents the concept of culture marketing and current condition of company. s support for culture and arts. In addition, the article depicts the concept and classification of art marketing. Furthermore, through analysis of company exhibition space and programs, the article illustrates the features and typology of art galleries managed by companies.

Video Palmprint Recognition System Based on Modified Double-line-single-point Assisted Placement

  • Wu, Tengfei;Leng, Lu
    • Journal of Multimedia Information System
    • /
    • v.8 no.1
    • /
    • pp.23-30
    • /
    • 2021
  • Palmprint has become a popular biometric modality; however, palmprint recognition has not been conducted in video media. Video palmprint recognition (VPR) has some advantages that are absent in image palmprint recognition. In VPR, the registration and recognition can be automatically implemented without users' manual manipulation. A good-quality image can be selected from the video frames or generated from the fusion of multiple video frames. VPR in contactless mode overcomes several problems caused by contact mode; however, contactless mode, especially mobile mode, encounters with several revere challenges. Double-line-single-point (DLSP) assisted placement technique can overcome the challenges as well as effectively reduce the localization error and computation complexity. This paper modifies DLSP technique to reduce the invalid area in the frames. In addition, the valid frames, in which users place their hands correctly, are selected according to finger gap judgement, and then some key frames, which have good quality, are selected from the valid frames as the gallery samples that are matched with the query samples for authentication decision. The VPR algorithm is conducted on the system designed and developed on mobile device.

Person Re-identification using Sparse Representation with a Saliency-weighted Dictionary

  • Kim, Miri;Jang, Jinbeum;Paik, Joonki
    • IEIE Transactions on Smart Processing and Computing
    • /
    • v.6 no.4
    • /
    • pp.262-268
    • /
    • 2017
  • Intelligent video surveillance systems have been developed to monitor global areas and find specific target objects using a large-scale database. However, person re-identification presents some challenges, such as pose change and occlusions. To solve the problems, this paper presents an improved person re-identification method using sparse representation and saliency-based dictionary construction. The proposed method consists of three parts: i) feature description based on salient colors and textures for dictionary elements, ii) orthogonal atom selection using cosine similarity to deal with pose and viewpoint change, and iii) measurement of reconstruction error to rank the gallery corresponding a probe object. The proposed method provides good performance, since robust descriptors used as a dictionary atom are generated by weighting some salient features, and dictionary atoms are selected by reducing excessive redundancy causing low accuracy. Therefore, the proposed method can be applied in a large scale-database surveillance system to search for a specific object.

The Power Images in the Style of a Leader: Expressive Characteristics for the Power Images on the Portrait of Henry VIII (리더의 스타일에 표현된 권력이미지: 헨리 8세의 초상화에 나타난 권력이미지의 표현특성)

  • Kim, Mikyung
    • Journal of Fashion Business
    • /
    • v.17 no.5
    • /
    • pp.1-13
    • /
    • 2013
  • The purpose of this study is to examine the power images in the style of a leader: through the focus on the portrait of Henry VIII. Study methods on the literature concerning viewpoints of power and image in the early modern age and the subjects of power are being used for theoretical backgrounds; and the visual data from National Portrait Gallery, British Library and the internet are used for exploratory studies. The results of this study are as follows. First, from the style of Henry VIII who represented the image of political power, the modern political phenomenon can be defined. Such phenomenon which displays images of political leaders from the study indicate an effective strategy. Second, the religious, a diplomatic representation for the style of Henry VIII powers, such as costume style and somatic visual images, represents the dignity and power by delivering visible internal attributes. Thus, the role model recognized by the society and the public's perception of leadership style affects the acknowledgement and belief by the people.

A Cause Analysis on the Reduction of Stream Flow for the Cheongdocheon (청도천의 건천화 원인분석)

  • Lee, Sang-Ho;Park, Jong-Pyo;Lee, Jung-Min;Cho, Hyo-Seob
    • Journal of Korea Water Resources Association
    • /
    • v.36 no.6
    • /
    • pp.1069-1082
    • /
    • 2003
  • The Cheongdocheon has the reaches under reduction of stream flow. We analysed the cause of the reduction. We investigated the current status of facilities for agricultural water use. We also compared the discharge measurements with the results from the continuous simulation of watershed runoff The satellite image was a tool to find some reaches of stream flow reduction under doubt. Agricultural reservoirs block up the stream and water does not flow over the reservoirs except by storm. They also discharge water through diversion channels and the water diverted does not flow through the natural stream. Farmers directly take water from the stream by weirs. The infiltration gallery of water below the stream ground makes the reach dryness perfect in Kamakchon. These are causes of the stream flow reduction. The discharge measurements are less than the simulation results of watershed runoff, and we guess that the reaches investigated have dried. We found the reaches of stream flow reduction that were under doubt from some KOMPSAT satellite images with the resolution of 6.6 m. Then, we confirmed the reduction of stream flow by a field investigation. All the above reaches have infiltration galleries of water below the stream ground. The research results are a case study on the cause analysis on the reduction of stream flow. One can obtain the KOMPSAT image for a low price and can get prior information to find the doubtful reach of stream flow reduction.

Statistical Analysis of Projection-Based Face Recognition Algorithms (투사에 기초한 얼굴 인식 알고리즘들의 통계적 분석)

  • 문현준;백순화;전병민
    • The Journal of Korean Institute of Communications and Information Sciences
    • /
    • v.25 no.5A
    • /
    • pp.717-725
    • /
    • 2000
  • Within the last several years, there has been a large number of algorithms developed for face recognition. The majority of these algorithms have been view- and projection-based algorithms. Our definition of projection is not restricted to projecting the image onto an orthogonal basis the definition is expansive and includes a general class of linear transformation of the image pixel values. The class includes correlation, principal component analysis, clustering, gray scale projection, and matching pursuit filters. In this paper, we perform a detailed analysis of this class of algorithms by evaluating them on the FERET database of facial images. In our experiments, a projection-based algorithms consists of three steps. The first step is done off-line and determines the new basis for the images. The bases is either set by the algorithm designer or is learned from a training set. The last two steps are on-line and perform the recognition. The second step projects an image onto the new basis and the third step recognizes a face in an with a nearest neighbor classifier. The classification is performed in the projection space. Most evaluation methods report algorithm performance on a single gallery. This does not fully capture algorithm performance. In our study, we construct set of independent galleries. This allows us to see how individual algorithm performance varies over different galleries. In addition, we report on the relative performance of the algorithms over the different galleries.

  • PDF