• The Transactions of the Korea Information Processing Society
• /
• v.3 no.4
• /
• pp.733-744
• /
• 1996

Content-based image retrieval(CBIR) is an image data retrieval methodology using characteristic values of image data those are generated by system automatically without any caption or text information. In this paper, we propose a content-based image data retrieval method using shape and color features of image data as characteristic values. For this, we present some image processing techniques used for feature extraction and indexing techniques based on trie and R tree for fast image data retrieval. In our approach, image query result is more reliable because both shape and color features are considered. Also, we how an image database which implemented according to our approaches and sample retrieval results which are selected by our system from 200 sample images, and an analysis about the result by considering the effect of characteristic values of shape and color.

• Journal of the Institute of Electronics Engineers of Korea CI
• /
• v.47 no.5
• /
• pp.1-9
• /
• 2010

Generally, dynamic hand gesture recognition is formed through preprocessing step, hand tracking step and hand shape detection step. In this paper, we present advanced dynamic hand gesture recognizing method that improves performance in preprocessing step and hand shape detection step. In preprocessing step, we remove noise fast by using dynamic table and detect skin color exactly on complex background for controling skin color range in skin color detection method using YCbCr color space. Especially, we increase recognizing speed in hand shape detection step through detecting Start Image and Stop Image, that are elements of dynamic hand gesture recognizing, using Guideline. Guideline is edge of input hand image and hand shape for comparing. We perform various experiments with nine web-cam video clips that are separated to complex background and simple background for dynamic hand gesture recognition method in the paper. The result of experiment shows similar recognition ratio but high recognition speed, low cpu usage, low memory usage than recognition method using learning exercise.

• Proceedings of the IEEK Conference
• /
• 2000.06d
• /
• pp.218-221
• /
• 2000

In this paper, we propose a new algorithm to detect human faces for controling a camera used in video conference. We model the distribution of skin color and set up the standard skin color in YIQ color space. An input video frame image is segmented into skin and non-skin segments by comparing the standard skin color and each pixels in the input video frame. Then, shape filler is applied to select face segments from skin segments. Our algorithm detects human faces in real time to control a camera to capture a human face with a proper size and position.

• Korean Journal of Breeding Science
• /
• v.42 no.2
• /
• pp.188-194
• /
• 2010

This experiment was conducted to characterize the inheritance of petal color, flower-eye color, flower shape, leaf variegation pattern, and leaf-end shape in Cyclamen persicum. The segregation of $F_2$ and backcross populations from crosses between inbred lines was tested for Mendelian inheritance mode. From four different combinations of crosses, it was found that the petal color was controlled by a single incomplete dominant gene. The other characters, flower-eye color, flower shape, leaf variegation pattern and leaf-end shape were confirmed to be controlled by single complete dominant genes.

• Journal of Korean Ophthalmic Optics Society
• /
• v.5 no.2
• /
• pp.5-9
• /
• 2000

The visual evoked potential was electrophysiological method for the identify of the EEG response on visual cortex. This test was objective test method on the eye function. This study was used the visual evoked potential for the objective color test. The subjects was a normal color function in Korean adults. The test condition was performed on the differens distance and illumination. According to convergence condition of color vision target. On the appearance of EEG wave of visual stimulation on visual cortex. The most EEG wave style was delta wave, and the next amount wave form was beta wave and theta wave, and the least EEG wave form was alpha wave. The histogram of amplitude of EEG wave form was almost non-Gaussian shape, and the phase diagram of amplitude was almost all linear shape. On the kinds of color vision target, the frequency of EEG wave style appeared a similar results.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.24 no.5
• /
• pp.736-747
• /
• 2000

This study focused on the comparison of satisfaction with and perception about their bodies by Korean and American women. The respondents included 242 Korean and 145 American female student volunteers, aged 18 to 27, who were enrolled at Kwangju and Catholic University and Cornell University in the United States. The questionnaire was composed of three sections; a body cathexis, perceived body shape-self, perceived body shape-ideal. Twenty items of 30 items showed a significant difference between Korean and American women. Korean student females were more dissatisfied with 20 items than American women. Even though Korean women were smaller in body build than the American women, the Korean women were more negative about their large type, shoulder, hands, arms, hips, neck, face, and skin color than the American women. There were many significant differences between perceived body shape-self and perceived body shape-ideal responses for Korean and American respondents. The exceptions were that a fuller bosom, and longer legs than perceived body shape were desired in both cultures, longer arms were desired by Korean women and darker skin color was desired by American women.

• Journal of the Korean Academy of Esthetic Dentistry
• /
• v.24 no.2
• /
• pp.86-100
• /
• 2015

To harmonize with the remaining natural teeth a dentist and technician make an effort to do. Dental ceramic perfectly reproduce the functionality and esthetic is so moved that will deliver to the patient. However It is not easy to overcome the problem. Actually, it can't have the same spectrum curve between different object. The spectrum curve and reflectance is a unique feature of an object like fingerprints. So it is not that the identification of spectral curves that we usually focuses color. We need to understand the process of matamerism makes something like a combination of color perception. In other word that will tell in our field with ceramic teeth of the patient wish to match the color matching process to simulate the cone in our retinas with the same combination.

• Fashion & Textile Research Journal
• /
• v.14 no.6
• /
• pp.918-927
• /
• 2012

This study identified the aesthetic characteristics of the face description in late Joseon Dynasty beauty paintings. A total of 24 beauty paintings were selected as representative of the late Joseon Dynasty genre of painting works. The paintings were analyzed by the shape, color, and physiognomy of beauty trends from the components of women's faces expressed in the works of artists. The results of this study showed that the shape of the face components expressed a round, curved and thin line. Colors were expressed through Obang-sack (a traditional Korean color). Also the physiognomy of the late Joseon Dynasty's women was soft, wise, economical and brilliant. A round-forehead meant that economical and virtuous housekeeper, thin crescent shaped eyebrows denoted women of wisdom and excellent sensitivity. Single long thin eyelids and implied a women of longevity. A round curved nose were eager tobe a wise mother and a good wife. Small concave lips were desired eagerly by gentle and intelligent women. A curve face implied a subjective women of insight and good memory. In conclusion, the late Joseon Dynasty beauty paintings expressed a traditional Korean beauty face and a modern baby face. The data are useful for the aesthetic standards of modern through meaning of Korean traditional beauty.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.30 no.6 s.154
• /
• pp.840-850
• /
• 2006

This thesis that is written by inquiring the shoes of 1990's, is written in order to propose the method of analyzing the changes of shoes design systematically. The picture to be gathered was a content analysis low at ARS and Accessory Collegioni since though the research method took shoes to $1990{\sim}1999$. I categorized the design factors into shape, material, color, decoration. by using those category, the result of analysis of design character. In 1,990's, boots, pumps and straps were the most popular in upper, point and rounded cuban and french were the most popular in toe, leather was the most popular in materiel, suede in F/W and patent in S/S. Black was the most popular color, brown in F/W and white/beige in S/S were the second. Re-created shape that was constructed through the reconstructions of structures and shapes of shoes, shape that was expanded to other genre were appeared in character of design factor. Material image was strengthened by varying patterns of unburned calf, leopard and zebra. Recognition of shoes color was expanded by using unique colorations and abstract, fresh figure colors. Post-modem tendency was appeared like using brassiere strap instead of back strap or using round string in elegant shoes.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.8 no.5
• /
• pp.1080-1088
• /
• 2004

In this paper, the interesting moving objects tracking algorithm using color information on Multi-Video camera against variance of intensity, shape and background is proposed. Moving objects are detected by using difference image method and integral projection method to background image and objects image only with hue area, after converting RGB color coordination of image which is input from multi-video camera into HSI color coordination. Hue information of the detected moving area are segmented to 24 levels from $0^{\circ}$ to $360^{\circ}$. It is used to the feature parameter of the moving objects that are three segmented hue levels with the highest distribution and difference among three segmented hue levels. To examine propriety of the proposed method, human images with variance of intensity and shape and human images with variance of intensity, shape and background are targeted for moving objects. As surveillance results of the interesting human, hue distribution level variation of the detected interesting human at each camera is under 2 level, and it is confirmed that the interesting human is tracked and surveilled by using feature parameters at cameras, automatically.