• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2021.06a
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• pp.200-203
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• 2021

본 논문에서는 Stereoscopic VR 영상안의 Hole 을 제거하기 위한 효과적인 Inpainting 기술을 소개한다. 본 논문은 Mesh-based warping 과 Blending 기술을 적용하여 Hole 을 제거하는 새로운 Inpainting 알고리즘을 기술하였고, 성능 평가를 통해 제안 방법이 고품질의 Stereoscopic VR 영상을 생성시킬 수 있음을 확인하였다.

• Journal of the Korean Society of Costume
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• v.61 no.5
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• pp.106-122
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• 2011

The ultimate purpose of the research is to solve the problem that fashion inspired by les Nouveau Pop Artic criticism and satirical factors is interpreted as concept of American Pop Art style, even though there is distinct difference between les Nouveau Pop Art style and American Pop Art style. We think that the reason causing the problem is that les Nouveau Pop Art is not familiar to the general public, even though it is getting attentions as trends treated by les Nouveau Pop Artists. Above all there is insufficient study to establish a theoretical system and a concrete concept on les Nouveau Pop Art. Therefore, this study is to set up the theoretical concept on les Nouveau Pop Art based on comparisons and analysis of the characteristics of works expressed les Nouveau Pop artists, and to draw the concept of les Nouveau Pop image fashion. The result of this study indicate that les Nouveau Pop Art Image Fashion is defined as "fashion design borrowing the concept and image from les Nouveau Pop Art and blending and consisting of the themes, characteristics and techniques from les Nouveau Pop Art.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.22 no.4
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• pp.617-623
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• 2018

In this paper, we propose a novel seamless video composition method based on shape matching and Poisson equation. Video composition method consists of video segmentation process and video blending process. In the video segmentation process, the user first sets a trimap for the first frame, and then performs a grab-cut algorithm. Next, considering that the performance of video segmentation may be reduced if the color, brightness and texture of the object and the background are similar, the object region segmented in the current frame is corrected through shape matching between the objects of the current frame and the previous frame. In the video blending process, the object of source video and the background of target video are blended seamlessly using Poisson equation, and the object is located according to the movement path set by the user. Simulation results show that the proposed method has better performance not only in the naturalness of the composite video but also in computational time.

• Korean Journal of Cognitive Science
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• v.25 no.1
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• pp.51-71
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• 2014

This paper presents an image enhancement method in real road traffic scenes. The images captured by the camera on the car cannot keep the color constancy as illumination or weather changes. In the real environment, these problems are more worse at back light conditions and at night that make more difficult to the applications of the vision-based intelligent vehicles. Using the existing image enhancement methods without considering the position and intensity of the light source and their geometric relations the image quality can even be deteriorated. Thus, this paper presents a fast and effective method for image enhancement resembling human cognitive system which consists of 1) image preprocessing, 2) color-contrast evaluation, 3) alpha blending of over/under estimated image and preprocessed image. An input image is first preprocessed by gamma correction, and then enhanced by an Automatic Color Enhancement(ACE) method. Finally, the preprocessed image and the ACE image are blended to improve image visibility. The proposed method shows drastically enhanced results visually, and improves the performance in traffic sign detection of the vision based intelligent vehicle applications.

• Journal of the Korean Society of Costume
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• v.63 no.8
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• pp.58-75
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• 2013

Steampunk is a term generally used for one of the S. F. subgenre in literature, arts, fashion styles, and lifestyles. This study clarifies formative characteristics as well as the meanings of steampunk fashion style based on its attributes in movies and animations. Attributes of the steampunk are blending time, blending technology, and introspection against science development. In order to have an objective research, this study researched frequency of the fashion item, color, accessory of the collected fashion image, and after interpreted that consequence. Men's steampunk fashion was composed of men's basic outfit such as shirts, vest, jacket, pants, and coats of the 19th century. Black color took up the largest proportion for color. In accessory, top hat, goggle, and steam-powered weapons, in order, were most commonly used. Women's steampunk fashion was composed of shirts and long one-piece dresses, long skirt simply applied 19th victorian style fashion. Yellow, brown, and black color took up the largest proportion of fashion color. In accessory, top hat, belt trimming, corset, and boots, in order, were most commonly used. It is the characteristics of the steampunk fashion that represents retro-future fashion, as it features steam-powered mechanic esthetics, a kind of DIY subculture and transcending division of nationality, class, and gender.

• Journal of KIISE:Software and Applications
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• v.27 no.8
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• pp.827-833
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• 2000

Facial expression is an effective tool to express human emotion. In this paper, a facial expression analysis method based on the base faces and their blending ratio is proposed. The seven base faces were chosen as axes describing and analyzing arbitrary facial expression. We set up seven facial expressions such as, surprise, fear, anger, disgust, happiness, sadness, and expressionless as base faces. Facial expression was built by fitting generic 3D facial model to facial image. Two comparable methods, Genetic Algorithms and Simulated Annealing were used to search the blending ratio of base faces. The usefulness of the proposed method for facial expression analysis was proved by the facial expression synthesis results.

• Journal of Broadcast Engineering
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• v.23 no.5
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• pp.656-668
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• 2018

VR (Virtual Reality) is one of the important research topics in the field of multimedia application system. The quality of the visual data composed from multiple pictures depends on the performance of stitching technique. The stitching module consists of feature extraction, mapping of those, warping, seam finding, and blending. In this paper, we proposed a preprocessing scheme to provide the efficient mask for seam finder. Incorporating of the proposed mask removes the distortion, such as ghost and blurring, in the stitched image. The simulation results show that the proposed algorithm outperforms other conventional techniques in the respect of the subjective quality and the computational complexity.

• Journal of Digital Contents Society
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• v.19 no.7
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• pp.1341-1348
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• 2018

In this study, we propose a method for applying the image content to the exhibition space using projection mapping techniques. In a typical exhibition space, the artist exhibits works and displays them unilaterally and by using walls defined as screens. However, the new form of exhibition is not one-sided and changes in the way space is free from constraint. The purpose of the exhibition space is to use walls or various installations, which are elements of the exhibition space, as a key part of the exhibition rather than as a material for the spatial compartment. This type of display is a display element of space and you can enjoy the fun and excitement of the exhibition about the new environment. Various imaging techniques are required to construct an exhibition of images and spaces, among which edge blocking is not formed.

• Proceedings of the IEEK Conference
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• 2005.11a
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• pp.1157-1160
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• 2005

The denoising and reconstruction of color images are increasingly studied in the field of computer vision and image processing. Especially, the denoising and reconstruction of color face images are more difficult than those of natural images because of the structural characteristics of human faces as well as the subtleties of color interactions. In this paper, we propose a denoising method based on PCA reconstruction for removing complex color noises on human faces, which is not easy to remove by using vectorial color filters. The proposed method is composed of the following five steps; training of canonical eigenface space using PCA, automatic extracting of face features using active appearance model, relighing of reconstructed color image using bilateral filter, extraction of noise regions using the variance of training data, and reconstruction using partial information of input images (except the noise regions) and blending of the reconstructed image with the original image. Experimental results show that the proposed denosing method efficiently removes complex color noises on input face images.

• Journal of Broadcast Engineering
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• v.16 no.5
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• pp.883-893
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• 2011

In this paper, we propose a novel focus measure that determines in-focus and out-of-focus region in an image. In addition, we achieved extended depth of field by blending the acquired image and Wiener filtered image using a decision map based on the designed focus measure. Since conventional focus measures are based on the amount of high frequency components in an acquired image, the measures may not be accurate if there exist high frequency components in out-of-focused region. To overcome the problem, we designed the novel focus measure based on effective band pass filtering. In simulations and experiments, the proposed method showed better performance than existing methods.