• Archives of design research
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• v.13 no.1
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• pp.111-120
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• 2000

Certain complex forces are existing at the other side of a canvas. These are visual arrangements and within the arrangement, even the simple combination of dots and lines create more than visual patterns. No matter what form that visual art has taken, it is performed in a certain space and it is constucted with various visual elements. For effective communication, visual elements must form a stable sturcture by extablishing organic relationship among each other. These requires an understanding of the human visual characteristics and psychonology, because human sight senses the same biological and psychological visual elements differently in its force and weight, according to the position within a given space. Although the structure which controls such force and weight exists within a peice of work, it is a internal plan of the work that actually controls the communication through a man\ulcorner psychological reactions towards the horizontal and virtical structures within it. Moreover it is a visual statement that effectively expresses a theme or a message. This thesis has studied visual structures through the analysis of art pieces regarding of these kind of a visual picture plane, characteristics of a picture plane formed by a structure of force existing on the other side of the picture and the theory of visual balance. In addition, the aim of this study is to help designers who deals with visual image works to understand the visual structures and psychological recognitions and to apply these picture plane compositions at their real work by recognizing the psychological power within the construction elements.

• Cartoon and Animation Studies
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• s.35
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• pp.347-374
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• 2014

The aim of this article is to consider the future of industrialization of Augmented Reality contents focusing on cinematic imagination of films that used Augmented Reality techniques and artistic imagination of Augmented Reality Arts in the 21st century. The film showing future technology through cinematic imagination plays an role in the presentation of future vision important. Augmented Reality Arts show the big picture of future arts, future aspect of society, and future culture by using technically possible present technology. I classified the researched films according to Augmented Reality technique. It is expected that Gesture Recognition will develop with transparent display device techniques, Hologram techniques will be changed into individualized communication styles, Biometrics will be able to evolve into multi-Biometrics, and Wearable Computer will develop in the aspect of physical body augmentation and then industrialize. In Augmented Reality Arts, it seems that the various utilization of avatar will be related to Hologram, the utilization of the physiological phenomenon of the human body will be related to Biometrics, the mixture of reality and virtual reality will utilize display devices through Gesture Recognition, and a new experiment of HMD(Head-Mounted Display) will industrialize with the diversification of Wearable Computer. Augmented Reality contents created through the imagination and representation in the films and arts take a role in helping human life, and, at the same time, show the future image industrialized in the way of combination between human and environment without a medium.

• Cartoon and Animation Studies
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• s.49
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• pp.651-676
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• 2017

Shadow images are a representative medium and means of expression for the imagination that exists between consciousness and unconsciousness for thousands of years. Wherever light exists, people create play with their own shadows without special skills, and have made a fantasy at once. Shadow images have long been used as subjects and materials of literacy, art, philosophy, and popular culture. Especially in the field of art, people have been experimenting with visual stimulation through the uniqueness of simple silhouettes images. In the field of animation, it became to be recognized as a form of non - mainstream areas that are difficult to make. However, shadow images have been used more actively in the field of digital arts and media art. In this Environment with technologies, Various formative imaginations are being expressed more with shadow images in a new dimension. This study is to introduce and analyze these trends, the aesthetic transformations and extended methods focusing on digital silhouette animation and recent media art works using shadow images. Screen-based silhouette animation combines digital technology and new approaches that have escaped conventional methods have removed most of the elements that have been considered limitations, and these factors have become a matter of choice for the directors. Especially, in the display environment using various light sources, projection, and camera technology, shadow images were expressed with multiple-layered virtual spaces, and it becomes possible to imagine a new extended imagination. Through the computer vision, it became possible to find new gaze and spatial images and use it more flexibly. These changes have given new possibility to the use shadow images in a different way.

• Journal of Veterinary Clinics
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• v.26 no.6
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• pp.650-654
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• 2009

A 1-week-old, male Korean native calf with acute clinical signs of depression, mild diarrhea, ataxia, recumbency and tremor was referred to Chonbuk Veterinary Medical Center of Chonbuk National University. Vision loss and cornea edema were also observed on physical examination. The patient had been deteriorated with nystagumus, strabisumus and opisthtonus. Blood cell count test and blood biochemistry test revealed remarkable leukocytosis, and hypoalbuminemia and increased blood urea nitrogen. No remarkable findings were observed on radiography. On magnetic resonance imaging study, there were enlarge lateral, third, and forth ventricles. The cortical grey and subcortical white matter of left temporal lobe showed hypointense on T1-weighted images and hyperintense on T2-weighted images, and slightly enhanced on contrast-enhanced T1-weighted images. Escherichia coli strain was identified from cerebrospinal fluid sample. Palliative treatment was attempted but the neonatal calve was expired three days after admission. Severe multifocal fibrino-suppurative meningitis with Escherichia coli infection was confirmed histopathologically.

• Spatial Information Research
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• v.17 no.4
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• pp.431-443
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• 2009

Recently, turbidity problem is one of the hot issues in dam and reservoir management works. Main reason to bring about high density turbid water is sediment yield by rainfall intensity energy. Because existing researches didn't consider diverse types of crops, it was difficult to calculate more accurate soil erosion and sediment yield. This study was evaluated the reduction efficiency of soil erosion and sediment yield using ginseng layer extracted from IKONOS satellite image, and the area and the ratio of ginseng area represented $0.290km^2$ and 0.94%. The reduction efficiency of soil erosion considering ginseng area represented low value in 0.9% using GIS-based RUSLE model, because the area of ginseng was small compared to areas of other agricultural lands. To reflect future land use change, this study was calculated the reduction efficiency of soil erosion and sediment yield by considering many scenarios as kinds of crops of paddy, dry field, orchard, and other agricultural areas convert to the ginseng district. As result of analysis of them according to scenarios, scenario (1) in which dry field was converted to ginseng area and scenario (2) in which fully agricultural lands were converted to ginseng area showed high reduction efficiency as 31.3% and 34.8% respectively, compared to existing research which didn't consider ginseng area. Methodology suggested in this study will be very efficient tools to help reservoir management related to high density turbid water.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.17 no.2
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• pp.15-23
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• 2017

The person Re-identification is the most challenging part of computer vision due to the significant changes in human pose and background clutter with occlusions. The picture from non-overlapping cameras enhance the difficulty to distinguish some person from the other. To reach a better performance match, most methods use feature selection and distance metrics separately to get discriminative representations and proper distance to describe the similarity between person and kind of ignoring some significant features. This situation has encouraged us to consider a novel method to deal with this problem. In this paper, we proposed an enhanced recurrent neural network with three-tier hierarchical network for person re-identification. Specifically, the proposed recurrent neural network (RNN) model contain an iterative expectation maximum (EM) algorithm and three-tier Hierarchical network to jointly learn both the discriminative features and metrics distance. The iterative EM algorithm can fully use of the feature extraction ability of convolutional neural network (CNN) which is in series before the RNN. By unsupervised learning, the EM framework can change the labels of the patches and train larger datasets. Through the three-tier hierarchical network, the convolutional neural network, recurrent network and pooling layer can jointly be a feature extractor to better train the network. The experimental result shows that comparing with other researchers' approaches in this field, this method also can get a competitive accuracy. The influence of different component of this method will be analyzed and evaluated in the future research.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.18 no.4
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• pp.43-48
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• 2018

This study was conducted to reproduce digital colour based on the lightness of the background and size of the colour stimulus so that colour can be similarly perceived under different conditions. With the evolution of display technologies, display devices of various sizes can now reproduce more accurate colour and enhanced images, thus affecting the overall quality of display images. This study reproduced digital colour by considering the visual characteristics of the digital media environment. To accomplish this, we developed a colour appearance model which distinguishes the properties of foveal and peripheral vision. The proposed model is based on existing research on the lightness of the background and size of the colour stimulus. Based on experimental results, an analysis of variance was performed in order to develop the colour appearance model. The algorithm and modelling were verified based on the proposed model. In addition, to apply this model to display technologies, a practical colour control system and a method for handling complex input images were developed. Through this research, colour conversion errors which might occur when the input image is converted to fit a specific display size are resolved from the perspective of the human visual system. As a result, more accurate colour can be displayed and enhanced images can be reproduced.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.45 no.5
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• pp.1-8
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• 2008

The belief propagation method that has been studied recently yields good performance in disparity extraction. The method in which a target function is modeled as an energy function based on Markov random field(MRF), solves the stereo matching problem by finding the disparity to minimize the energy function. MRF models provide robust and unified framework for vision problem such as stereo and image restoration. the belief propagation method produces quite correct results, but it has difficulty in real time implementation because of higher computational complexity than other stereo methods. To relieve this problem, in this paper, we propose a fast algorithm of the belief propagation method. Energy function consists of a data term and a smoothness tern. The data term usually corresponds to the difference in brightness between correspondences, and smoothness term indicates the continuity of adjacent pixels. Smoothness information is created from messages, which are assigned using four different message arrays for the pixel positions adjacent in four directions. The processing time for four message arrays dominates 80 percent of the whole program execution time. In the proposed method, we propose an algorithm that dramatically reduces the processing time require in message calculation, since the message.; are not produced in four arrays but in a single array. Tn the last step of disparity extraction process, the messages are called in the single integrated array and this algorithm requires 1/4 computational complexity of the conventional method. Our method is evaluated by comparing the disparity error rates of our method and the conventional method. Experimental results show that the proposed method remarkably reduces the execution time while it rarely increases disparity error.

• Journal of the Institute of Electronics and Information Engineers
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• v.50 no.5
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• pp.83-93
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• 2013

Recently, the SURF algorithm, which is conjugated for object tracking system as part of many computer vision applications, is a well-known scale- and rotation-invariant feature detection algorithm. The SURF, due to its high computational complexity, there is essential to develop a hardware accelerator in order to be used on an IP in embedded environment. However, the SURF requires a huge local memory, causing many problems that increase the chip size and decrease the value of IP in ASIC and SoC system design. In this paper, we proposed a way to design a SURF algorithm in hardware with greatly reduced local memory by partitioning the algorithms into several Sub-IPs using external memory and a DMA. To justify validity of the proposed method, we developed an example of simplified object tracking algorithm. The execution speed of the hardware IP was about 31 frame/sec, the logic size was about 74Kgate in the 30nm technology with 81Kbytes local memory in the embedded system platform consisting of ARM Cortex-M0 processor, AMBA bus(AHB-lite and APB), DMA and a SDRAM controller. Hence, it can be used to the hardware IP of SoC Chip. If the image processing algorithm akin to SURF is applied to the method proposed in this paper, it is expected that it can implement an efficient hardware design for target application.

• Journal of Science and Technology Studies
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• v.11 no.1
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• pp.89-121
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• 2011

The majority of previous researchers on body management practices including plastic surgery has agreed that there is a strong connection between social demands of plastic surgery and public exposures of beautiful body-images, which this research intends to analyze further. This study, on the one hand, discovers how body-images are produced and consumed through clinical practices of plastic surgery, particularly, surgeon-patient consultation processes based on the researcher's participant observation on a plastic surgery clinic in Korea, and shows how visualization technologies are mobilized to reconstruct not only boundaries of patients' bodies but also those of medical disciplines by viewing plastic surgery practices as knowledge production activities, on the other hand. While revealing that surgeon-patient consultation is the process to transform patient's bodies to "scientific" objects and visualization technologies have been made to help plastic surgeons to make their disciplines "scientific" ones, this article also pays attention to complicated effects of new imaging technology beyond a mere means of "scientification" of plastic surgery.