• 제어로봇시스템학회:학술대회논문집
• /
• 2004.08a
• /
• pp.185-189
• /
• 2004

For face recognition system, a face detector which can find exact face region from complex image is needed. Many face detection algorithms have been developed under the assumption that background of the source image is quite simple . this means that face region occupy more than a quarter of the area of the source image or the background is one-colored. Color-based face detection is fast but can't be applicable to the images of which the background color is similar to face color. And the algorithm using neural network needs so many non-face data for training and doesn't guarantee general performance. In this paper, A multi-scale, multi-face detection algorithm using PCA is suggested. This algorithm can find most multi-scaled faces contained in static images with small number of training data in reasonable time.

• Science of Emotion and Sensibility
• /
• v.12 no.1
• /
• pp.1-10
• /
• 2009

The purpose of this study is to find out the relationship between the design factor and the sensitivity in web site. The classification of sensitivity-types consists of the research of books and the survey, and the language specialist's review and the analysis of factor. The research of the Image Scale accomplished through the analysis of the result of sensitivity-types. The major findings of the analysis are summarized as follows. The webpage sensitivity-types are classified into the 7 types, namely 'refreshment', 'calm', 'refinement', 'strongness', 'youth', 'uniqueness', 'futurity'. As a result of analyzing of similarity between the adjectives by multiple standards, the web site Image Scale space consists of the axis between 'heavy-light' and 'soft-hard'. As a result of the research of relationship between the web site design factor and the emotion, the color and the layout influenced into 'soft-hard' much, and the light and the color influenced into 'heavy-light' much.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.32 no.3
• /
• pp.494-504
• /
• 2008

The purpose of this study was to classify the romantic image by clothing design elements. This research was done by survey method with 20 kinds of romantic image photos selected in fashion magazines. The data was analyzed by Reliability Analysis, Factor Analysis, ANOVA, Duncan's test and MDS. The results of this study are as follows: 1. Romantic image was classified by 4 factors. Those were sexy-romantic, retro-romantic, natural-romantic and cute-romantic images. 2. Sexy-romantic image was well-expressed by fitted silhouette, achromatic and achromatic color coordinations and see-through texture. Retro-romantic image was well-expressed by X silhouette, achromatic and achromatic color coordinations and see-through or combination texture. Natural-romantic image was well-expressed by A silhouette and chromatic and achromatic color coordinations. Cute-romantic image was well-expressed by A silhouette and soft or combination(silky and soft) texture. 3. Romantic image was positioned into mostly traditional or artificial on image scale.

• Journal of Korea Multimedia Society
• /
• v.15 no.1
• /
• pp.166-178
• /
• 2012

Depending on the launch of the emotional generation, many researches developing the automobile preference color which reflects the preference color of the consumers are advanced. This study investigate preferred colors and emotional image of the car color reflecting the product design and consuming psychology. According to surveyed ages and gender, there are eight categories (women/20 's, 30 "s, 40 's, and 50 's and men/20 's, 30 "s, 40 's, and 50 's) based on the 30 persons. Preferred color is black, white, sky blue, purple, pink, and orange order. If black, white and gray are excluded, remained in the order of blue, yellow, and purple. There are big deferences on preference color when emotional preference color of cars is showed or not. Practically, the preference color is following in sensitivity. However the car image is recognized actually with conservativeness, they hesitates selection of the bright chromatic color car.

• Journal of the Institute of Convergence Signal Processing
• /
• v.6 no.1
• /
• pp.15-22
• /
• 2005

In this paper, we propose a face recognition system by using the CCD color image. We first get the face candidate image by using YCbCr color model and adaptive skin color information. And we use it initial curve of active contour model to extract face region. We use the Eye map and mouth map using color information for extracting facial feature from the face image. To obtain center point of Log-polar image, we use extracted facial feature from the face image. In order to obtain feature vectors, we use extracted coefficients from DCT and wavelet transform. To show the validity of the proposed method, we performed a face recognition using neural network with BP learning algorithm. Experimental results show that the proposed method is robuster with higher recogntion rate than the conventional method for the rotation and scale variant.

• Journal of Korea Society of Digital Industry and Information Management
• /
• v.10 no.4
• /
• pp.151-160
• /
• 2014

In this paper, a comparison of superpixel characteristics based on SLIC(simple linear iterative clustering) for several color feature spaces is presented. Computer vision applications have come to rely increasingly on superpixels in recent years. Superpixel algorithms group pixels into perceptually meaningful atomic regions, which can be used to replace the rigid structure of the pixel grid. A superpixel is consist of pixels with similar features such as luminance, color, textures etc. Thus superpixels are more efficient than pixels in case of large scale image processing. Generally superpixel characteristics are described by uniformity, boundary precision and recall, compactness. However previous methods only generate superpixels a special color space but lack researches on superpixel characteristics. Therefore we present superpixel characteristics based on SLIC as known popular. In this paper, Lab, Luv, LCH, HSV, YIQ and RGB color feature spaces are used. Uniformity, compactness, boundary precision and recall are measured for comparing characteristics of superpixel. For computer simulation, Berkeley image database(BSD300) is used and Lab color space is superior to the others by the experimental results.

• The Journal of the Convergence on Culture Technology
• /
• v.9 no.3
• /
• pp.519-528
• /
• 2023

The visual characteristics of the World Cup emblem play an important role in conveying culture and identity, highlighting the key elements of the Games, and strengthening the brand image. This study first investigated the visual elements and theoretical background of the emblem through previous studies. Second, the selection of symbolism, shape, and color was the subject of the study. Third, based on the shape-related theory based on the '100 National Cultural Symbols', the analysis was performed using the 'IRI Color Matching Image Scale' as a tool, and a final conclusion was drawn. The World Cup emblem uses a lot of ethnic and living symbols, and the living and ethnic symbols are expressed in a combination. In the beginning, there were many symmetric shapes, but after that it changed to an asymmetric shape. The curved expression form is more used than the straight expression form. And most of the color arrangement image scale distribution shows light, dynamic and modern color arrangement characteristics. In the future, the World Cup emblem design will continue to use national and living symbols. The shape of the emblem should use curves and asymmetric designs, be intuitive, and directly reflect the theme of the competition. In addition, the national flag color should be used as the main color, and other colors should be used as secondary colors. The combination of colors must match the light, dynamic and modern color characteristics of the IRI color scheme image scale.

• Korean Institute of Interior Design Journal
• /
• v.15 no.6 s.59
• /
• pp.221-228
• /
• 2006

The purpose of this research is to investigate the tendency of color preference for the elderly in housing. For this, a questionnaire survey was carried out with color chips and 9 photos of the living rooms which were chosen among apartment model houses in Pusan. Preference of color usage was measured by SD scale developed by advertising adjectives for the model houses. The result of this study are as follows: 1) The preferred color image was characterized as soft, warm and simple. The main factors of color image were identified and named as 'dignity factor' and 'personality factor'. 2) The elderly preferred G generally, but R for dominant color of the living room. They distinguished their attitudes about the color by the purpose of color usage. 3) For colors of architectural components of the living room, preferred colors were narrowed Y, YR and R for wall, art wall and floor. Beige was the most popular color in the living room for the elderly. This research can contribute to the basic data of color planning for the elderly housing.

• Fashion & Textile Research Journal
• /
• v.13 no.2
• /
• pp.147-154
• /
• 2011

The purpose of this study was to investigate the clothing image according to coloration, tone, and interval of checked pattern in color contrast. The experimental materials developed for this study were a set of stimulus and response scales. The stimuli were 24 color pictures, in which coloration(RB: Red+Blue, YP: Yellow+Purple), tone(light, dull, dark), and interval(0.5 cm, 1.5 cm, 3.5 cm, 5.5 cm) were manipulated. The 7-point scale was used for evaluation of clothing image. Data were obtained from 240 female college students living in Seoul, Gwangju, Jinju, and Masan on May 2010. For data analysis, ANOVA and Duncan-test were used by using SPSS program. Results of this study were as follows.; Clothing image according to coloration, tone, and interval of checked pattern consisted of five dimensions of attractiveness, freshness, appeal, modesty, and activity. Coloration showed an independent effect on attractiveness and appeal. Tone showed an independent effect on freshness, appeal, and modesty. Interval showed an independent effect on freshness. Also, interaction effects of coloration and tone on appeal were found. Interaction effects of coloration and interval on modesty were found.

• Journal of the Korean Society of Costume
• /
• v.54 no.6
• /
• pp.131-140
• /
• 2004

The objectives of this study were to investigate the effect of the color of jacket. dress shirt, necktie. and perceiver's gender on image perceptions of male, and to examine how clothing color preferences varies according to perceiver's gender and age. The stimuli of 8 pictures of male and the semantic differential scale were used to evaluate image perception. Subjects were 192 males and females in Seoul. The colors of jacket gave significant influences on perception of potency. elegance, preference, and manliness. The colors of dress shirt gave a significant influence on perception of manliness, the necktie's colors gave influences on elegance and visibility. Perceiver's gender did not give significant influences on the image perception. Visibility had an interaction effect by the colors of jacket and dress shirt. Potency and preference evaluation had interaction effects by the colors of jacket. dress shirt. and necktie. White dress shirt had positive effects on the perception of potency and preference in the case of matching with dark blue jacket and red necktie, and blue shirt had a positive effect on the perception of potency and preference in matching with dark blue jacket and blue necktie. The preference of dark grey suit and black shirt showed significant differences according to gender. Dark blue suit, white shirt, and blue shirt had significant differences according to the age group.