• Journal of the Korea Institute of Information and Communication Engineering
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• v.7 no.6
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• pp.1312-1317
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• 2003

This paper presents an integrated approach to unconstrained face recognition in arbitrary scenes. The front end of the system comprises of a scale and pose tolerant face detector. Scale normalization is achieved through novel combination of a skin color segmentation and log-polar mapping procedure. Principal component analysis is used with the multi-view approach proposed in[10] to handle the pose variations. For a given color input image, the detector encloses a face in a complex scene within a circular boundary and indicates the position of the nose. Next, for recognition, a radial grid mapping centered on the nose yields a feature vector within the circular boundary. As the width of the color segmented region provides an estimated size for the face, the extracted feature vector is scale normalized by the estimated size. The feature vector is input to a trained neural network classifier for face identification. The system was evaluated using a database of 20 person's faces with varying scale and pose obtained on different complex backgrounds. The performance of the face recognizer was also quite good except for sensitivity to small scale face images. The integrated system achieved average recognition rates of 87% to 92%.

• Proceedings of the Korea Contents Association Conference
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• 2008.05a
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• pp.187-190
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• 2008

China has had a long preference in red. The color, symbolizing the sun, has a special significance, which stems from ancient times. The worship of the sun in the primitive society has been inherited by means of the collective unconsciousness; the sun has represented a variety of values such as nobility, purity, integrity, prosperity, success, happiness, good fortune, auspiciousness, and still much more. This research studies how the Chinese artworks visualize the color 'red', emphasizing the image of China and her culture. To do this, "Red Color" in Chinese posters from the past to the present were analyzed. While the images in red were delivered with a strong political connotation in the middle of the 20th century, as time passes by, the world trend of globalization has led the recent poster design in China to present red as the color standing for Chinese tradition, culture and spirits, which have flown throughout the 5000-year-long history.

• Journal of the Korea Society of Computer and Information
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• v.17 no.2
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• pp.41-48
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• 2012

In modern society, the necessity of Color and Psychology Therapy is increasing for psychologically calm children who are less taken care by their parents in busy daily life, and helping them adapt to the environment. Therefore, we need to understand sensitivity status of children with paintings that they draw. Currently, most of empirical studies on their sensitivities are based on psychological and engineering perspectives. This study was designed to provide a system to extract psychological status of children from their pictures by distinguishing harmony of colors using information of solid colors and arrangement of colors in the image space. For achieving this research purpose, first of all, sensitivity database was constructed based on the image space of colors. Then, using the K-Means algorithm, the image was clustered and a wide amount of color values were divided into groups. After that, children's sensitivities were extracted by matching groups of color values with database, and color psychological status of children was observed using the color distribution chart in their paintings.

• Journal of Platform Technology
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• v.9 no.4
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• pp.90-96
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• 2021

Most of the vehicles currently under development and in operation are equipped with various IoT sensors, but some of the factors that cause car accidents are relatively difficult to detect. One of the major risk factors among these factors is black ice. Black ice is one of the factors most likely to cause major accidents, as it can affect all vehicles passing through areas covered with black ice. Therefore, black ice detection technique is essential to prevent major accidents. For this purpose, some studies have been carried out in the past, but unrealistic factors have been reflected in some parts, so research to supplement this is needed. In this paper, we tried to detect black ice by analyzing color images using the CNN technique, and we succeeded in detecting black ice to a certain level. However, there were differences from previous studies, and the reason was analyzed.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2003.10a
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• pp.236-238
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• 2003

Human face detection is often the first step in applications such as video surveillance, human computer interface, fare recognition, and image database management. We have constructed a simple and fast system to detect frontal human faces in complex environment and different illumination. This paper presents a fast segmentation method to combine neighboring pixels with similar hue. The algorithm constructs eye, mouth, and boundary maps for verifying each fare candidate. We test the system on images in complex environment and with confusing objects. The experiment shows a robust detection result with few false detected fates.

• The KIPS Transactions:PartB
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• v.10B no.6
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• pp.711-718
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• 2003

In this paper, we propose a robust face tracking algorithm. It is based on Condensation algorithm [7] and uses skin color and facial shape as the observation measure. It is hard to integrate color weight and shape weight. So we propose the method that has two separate trackers which uses skin color and facial shape as the observation measure respectively. One tracker tracks skin colored region and the other tracks facial shape. We used importance sampling technique to limit sampling region of two trackers. For skin-colored region tracker, we propose an adaptive color model to avoid the effect of illumination change. The proposed face tracker performs robustly in clutter background and in the illumination changes.

• Cartoon and Animation Studies
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• s.40
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• pp.177-209
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• 2015

The purpose of this study is to determine the meaning and function of black and white in the comic strip, which are mounted on the book pages. The role of space in comic strip, compared to the role of time in the cinema, enable to feel the role of the time in the book. Therefore storytelling of comic strip has been placed in the inseparable relationship with space. My aim is to think about the black and white meaning in the visual media, especially the use of black and white which is highlighted in the comic strip. Black and white doesn't mean a loss of color in the comic strip but it works around 2 important notions : readability, modernity (with minimalism). In comic strip, 'black and white' is not a true colour but it is complex items which indicate symbolic significances. Moreover it is also a notion which enhance 'existence and absence' and 'visible and invisible'. That's why to analyze and to understand how the space is organized in comic strip page, i chose several examples extract from black and white comic strip.

• Convergence Security Journal
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• v.7 no.1
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• pp.107-113
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• 2007

This paper proposes the shifted histogram method (SHM), for histogram-based image retrieval based on the dominant colors in images. The histogram-based method is very suitable for color image retrieval because retrievals are unaffected by geometrical changes in images, such as translation and rotation. Images with the same visual information, but with shifted color intensity, may significantly degrade if the conventional histogram intersection method (HIM) is used. To solve this problem, we use the shifted histogram method (SHM). Our experimental results show that the shifted histogram method has significant higher retrieval performance than the standard histogram method.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.49 no.1
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• pp.49-57
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• 2012

An image reconstruction algorithm is proposed to estimate transmitted original images from images displayed on a video terminal. The proposed algorithm acquires images that are displayed on video terminal screens by using a camera. The transmitted images are then estimated with the acquired images. However, camera-acquired images exhibit geometric and color distortions caused by characteristics of the camera and display devices. We make use of a geometric distortion correction algorithm that exploits homography and color distortions using a weighted-linear model. The experimental results show that the proposed algorithm yields promising estimation performance with respect to the peak signal-to-noise ratio (PSNR). PSNR values of the estimated images with respect to the corresponding original images range from 28-29 dB.

• Journal of the Korea Convergence Society
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• v.8 no.7
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• pp.315-321
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• 2017

Ice cream color is delivered brand stories to consumer through visual sense stimulation. Today's consumption patterns reflect not just five-senses(look, taste, hear, touch, smell) satisfaction but also the consumption of satisfaction through brand value. these marketing of utilized color is using in beauty design area also. therefore these a study is consisting the theoretical and empirical research, that's for implemented of storytelling the beauty design. on this base contemplation 'B' brand ice cream's color and brand story through the theoretical research, and express the derived design on nails by the empirical research. As a result, a study is implied fusion of ice cream color and nail art design, that believed to serve as a basic source of beauty design and color imagnation that reflect the color of specific brand.