• Smart Structures and Systems
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• v.30 no.5
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• pp.501-511
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• 2022

Three-dimensional (3D) models have become crucial for improving civil infrastructure analysis, and they can be used for various purposes such as damage detection, risk estimation, resolving potential safety issues, alarm detection, and structural health monitoring. 3D point cloud data is used not only to make visual models but also to analyze the states of structures and to monitor them using semantic data. This study proposes automating the generation of high-quality 3D point cloud data and removing noise using deep learning algorithms. In this study, large-format aerial images of civilian infrastructure, such as cut slopes and dams, which were captured by drones, were used to develop a workflow for automatically generating a 3D point cloud model. Through image cropping, downscaling/upscaling, semantic segmentation, generation of segmentation masks, and implementation of region extraction algorithms, the generation of the point cloud was automated. Compared with the method wherein the point cloud model is generated from raw images, our method could effectively improve the quality of the model, remove noise, and reduce the processing time. The results showed that the size of the 3D point cloud model created using the proposed method was significantly reduced; the number of points was reduced by 20-50%, and distant points were recognized as noise. This method can be applied to the automatic generation of high-quality 3D point cloud models of civil infrastructures using aerial imagery.

• The Journal of the Convergence on Culture Technology
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• v.6 no.2
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• pp.257-262
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• 2020

This study recruited adults aged 35 to 64 living in Daegu and Gyeongsang buk-do to analyze the images of the elderly perceived by the mid and older- aged adults and their preparation for later life. The results of this study are as follows: First, as for the images of elderly people recognized by the research subjects, psychological images were the most positive, followed by physical and social images. Those with a higher education level, full-time job, and parents alive had more positive images of the elderly. The psychological images were better in those married compared to singles or divorcees, and the higher the age considered as elderly, the better the psychological and social images of the elderly. Second, preparation for later life in the mid and older-aged adults was better in order of emotional and physical preparation, whereas economic and leisure and social preparation were not enough. Those who are female, those with a higher education level, higher average monthly household income, professional job, and full-time job, and those who have an older age in mind as a definition of elderly have been better prepared for later life. Third, it was found that the sub-factors of their images of elderly people and preparation for later life affected each other, and the more positive their images of elderly people, the better they had been prepared for later in life. The results of this research suggests a desirable direction for improving the images of the elderly, implicating the necessity of exploring measures to provide individual and social support and developing educational programs for successful life after retirement.

• Archives of design research
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• v.16 no.1
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• pp.169-180
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• 2003

Multinational brands have rapidly penetrated into the domestic dining business and their brands are increasingly recognized by Koreans. Considering fast-food as a kind of brand product, we attempt to investigate recognition of brands and association by images with the focus on visual identity. The economic value has been reevaluated with more attention on brand images and brand identity. The purpose of the current paper is to find out the meaning of brand association in the fast-food industry. Fast-food business has been rapidly increasing thanks to quick sonics, convenience, relatively low price, equalized quality of food and service. Most fast-food restaurants are run under franchised system. This helps enhance the recognition of brands among customers. We intend to see whether there is significant relationship between customers' preference of brands and brand images. We also aim to seek for their problems of identity in the merchandising process for brand colors. We hope to help develop Korean franchise industry by asking how association by visual Images such as colors and figures of such brands takes place.

• Journal of Korean Academy of Oral and Maxillofacial Radiology
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• v.23 no.2
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• pp.277-285
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• 1993

This study was performed to evaluate the role of Waters' view and panoramic view for the interpretation of mucosal cyst of the maxillary sinus and to determine the radiographic features of that according to the sites and sizes. For this study, clinically 25 cases of mucosal cyst of the maxillary sinus were used, and experimentally with two dry skulls, rubber ball of 15mm in diameter for marked radiopacity, and two jelly balls of 8 and 20㎜ in diameter for the similar radiopacity to cyst were used. The 25 cases with 25 panoramic views and 15 Waters' views were first analyzed, and secondly, the radiographic features of artificial lesions attached to the each wall of the antrum on Waters' view and panoramic view were analyzed. The obtained results were as follows: At clinical analysis, 1. 4 cases of 13-14㎜, 4 cases of 15-19mm, 14 cases of 20-25㎜, 3 cases of over 30㎜ in dia- meter were found on panoramic views. And 24 cases of 25 cases showed no relationship with teeth, and only 1 case was associated with advanced periodontal disease 2. The majority of mucosal cysts appeared to arise the posterior portion of the floor of the sinus and were superimposed with the inominate line of zygoma and the horizontally linear image of hard palate on panoramic view. 3. Only 2 cases of 15 cases were identified on both films. At experimental analysis, 4. On Waters' view, the images of the artificial lesion of the anterior portion and midportion of the floor of the sinus were lessend in diameter compared with the real size. On panoramic views, the images of the lesion were more radiolucent with lessened diameter than images on Water' view. 5. The images of the lesion of the posterior wall and the posterior portion of the floor of sinus on panoramic view were well detected by the preeducated group but not or poorly detected by the non-preeducated observer group. 6. On Waters' view, both observer groups recognized that the cystic images of the posterior portion of the floor of the maxillary sinus were superimposed with the petrous portion of the skull.

• Journal of Science of Art and Design
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• v.4
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• pp.91-122
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• 2002

`Bio morphism` are constituted in paintings where the artists try to embody the elementary properties of living creature as of growth and durability. They are the most appropriate concept of painting to harmonize human being with nature closely. The formative ways of them attach great importance to both unconsciousness and desire , as well as variations or dynamics, by noticing a flow of natural senses and feelings of human being. In other words, the formative ways are based on a recognition of nature as the intrinsic force of life, with the result that aesthetics of incompleteness is embodied in images. Therefore they are clearly distinguished from that of functional, geometric images. A tendency of painting at that time, in a word, 'return to figure and expression', means a conversion into organic images like the incomplete, atypical, and biomorphic forms, while denying the mechanical or geometric. Elizabeth Murray are analyzed, for these works are remarkable in the characteristics of 'Bio morphism'. Consequently the features of organic images, that is, 'the formative acceptance of natural figures, or an informality' and 'the force of free will, or an incompleteness', could obviously be revealed. It is a type that obtains a motif out of natural figures like an animal, a plant, or the concrete figures of human being. In conclusion, this thesis is focused on not only emphasizing that 'Bio morphism' were a major tendency among the various trends of postmodern painting in the 20th century, but also analysing both the painterly formation of organic images and the structure of them. In addition to these points, it is a central aim to evoke that Bio morphism should accurately be evaluated and positioned in postmodern painting. A new recognition of 'Bio morphism' is a peculiarity of the times that reflects a cultural aspect of the present, hence it should be recognized as another way to approach the postmodern painting.

• Journal of the Korea Computer Graphics Society
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• v.25 no.3
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• pp.1-9
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• 2019

The image obtained from systems such as autonomous driving cars or fire-fighting robots often suffer from several degradation such as noise, motion blur, and compression artifact due to multiple factor. It is difficult to apply image recognition to these degraded images, then the image restoration is essential. However, these systems cannot recognize what kind of degradation and thus there are difficulty restoring the images. In this paper, we propose the deep neural network, which restore natural images from images degraded in several ways such as noise, blur and JPEG compression in situations where the distortion applied to images is not recognized. We adopt the channel attention modules and skip connections in the proposed method, which makes the network focus on valuable information to image restoration. The proposed method is simpler to train than other methods, and experimental results show that the proposed method outperforms existing state-of-the-art methods.

• International journal of advanced smart convergence
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• v.10 no.2
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• pp.108-122
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• 2021

With the development of 3D graphics software and the speed of computer hardware, it is an era that can be realistically expressed not only in movie visual effects but also in console games. In the production of such realistic 3D models, 3D scans are increasingly used because they can obtain hyper-realistic results with relatively little effort. Among the various 3D scanning methods, photogrammetry can be used only with a camera. Therefore, no additional hardware is required, so its demand is rapidly increasing. Most 3D artists shoot as many images as possible with a video camera, etc., and then calculate using all of those images. Therefore, the photogrammetry method is recognized as a task that requires a lot of memory and long hardware operation. However, research on how to obtain precise results with 3D photogrammetry scans is insufficient, and a large number of photos is being utilized, which leads to increased production time and data capacity and decreased productivity. In this study, point cloud data generated according to changes in the number and resolution of photographic images were produced, and an experiment was conducted to compare them with original data. Then, the precision was measured using the average distance value and standard deviation of each vertex of the point cloud. By comparing and analyzing the difference in the precision of the 3D photogrammetry scans according to the number and resolution of images, this paper presents a direction for obtaining the most precise and effective results to 3D artists.

• Journal of Software Assessment and Valuation
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• v.17 no.2
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• pp.1-10
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• 2021

The ability to recognize human emotions by computer vision is a very important task, with many potential applications. Therefore the demand for emotion recognition using not only RGB images but also thermal images is increasing. Compared to RGB images, thermal images has the advantage of being less affected by lighting conditions but require a more sophisticated recognition method with low-resolution sources. In this paper, we propose a Divide and Conquer-based CNN training strategy to improve the performance of facial thermal image-based emotion recognition. The proposed method first trains to classify difficult-to-classify similar emotion classes into the same class group by confusion matrix analysis and then divides and solves the problem so that the emotion group classified into the same class group is recognized again as actual emotions. In experiments, the proposed method has improved accuracy in all the tests than when recognizing all the presented emotions with a single CNN model.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.11 no.9
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• pp.1786-1792
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• 2007

In this paper, we proposed a recognition system for resident registration cards using ART-1 and PCA algorithm. To extract registration numbers and issue date, Sobel mask and median filter are applied first and noise removal follows. From the noise-removed image, horizontal smearing is used to extract the regions, which are binarized with recursive binarization algorithm. After that vortical smearing is applied to restore corrupted lesions, which are mainly due to the horizontal smearing. from the restored image, areas of individual codes are extracted using 4-directional edge following algorithm and face area is extracted by the morphologic characteristics of a registration card. Extracted codes are recognized using ART-1 algorithm and PCA algorithm is used to verify the face. When the proposed method was applied to 25 real registration card images, 323 characters from 325 registration numbers and 166 characters from 167 issue date numbers, were correctly recognized. The verification test with 25 forged images showed that the proposed verification algorithm is robust to detect forgery.

• 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.