• Title/Summary/Keyword: Color-Image

Search Result 4,576, Processing Time 0.034 seconds

Consumer Intention to Purchase Domestic/Foreign Brand Jeans;Beliefs, Attitude, and Individual Characteristics. (국내 및 외국 상표 청바지의 구매의도에 따른 평가기준에 대한 신념과 추구이미지 및 의복태도의 차이연구)

  • 고애란
    • Journal of the Korean Society of Clothing and Textiles
    • /
    • v.18 no.2
    • /
    • pp.263-272
    • /
    • 1994
  • The purpose of this study was to identify factors that might distinguish those who have a high level of Intention to purchase each of domestic, foreign designer and national brand jeans from those who have a low intention in terms of evaluative criteria belief, ideal jeans image and clothing altitude. The sample consisted of 198 male and 197 female students from five universities in Seoul. The questionnnaire consisted of 50 seven-point semantic differential scales dealing with evaluative criteria and ideal jeans image, beliefs about and intention to purchase domestic, foreign designer and foreign national brand jeans and 25 Likert type clothing attitude scales. Based on a series of t-tests the results showed that color and design were the most influencing factor among the evaluative criteria belief, regardless of brand type, while durability, accessory, sewing were the least. Sexy image, brand consciousnees and fashion interest were the important factor that distinguish high intention to purchase group fro)m low intention to purchase group.

  • PDF

Glomus Tumor in Soft Tissue (연부 조직에 발생한 사구종)

  • Kim, Do-Yeon;Lee, Soo-Hyun;Kim, Min-Ju;Shin, Kyoo-Ho
    • The Journal of the Korean bone and joint tumor society
    • /
    • v.15 no.1
    • /
    • pp.34-43
    • /
    • 2009
  • Purpose: Glomus tumors are rare benign vascular tumors, usually located in the skin or soft tissue of extremities. Approximately 30-50% of glomus tumors occur in subungal area, but glomus tumors have been described in every location even where glomus bodies are not or rarely present. The purpose of this study was to identify clinical, histologic and MRI characteristics of soft tissue glomus tumor. Materials and Methods: Between 1993 and 2008, eight patients underwent surgery of soft tissue Glomus tumor at our institution. Exclusion criteria were patients with Glomus tumors in digits, stomach, trachea and glomus tympanicum. We analyzed medical records, interviews, physical examinations, MR findings and histolocial types retrospectively. Results: There were four men and four women. The mean age was fourty-seven years. The mean prevalence time was eight-point-nine years. In the classic triad of symptoms, all eight patients had pain and tenderness. Two patients complained of cold sensitivity. Two showed skin color changes. After surgery, two showed symptom improvement (VAS $9^{\circ}{\rightarrow}8$, $8^{\circ}{\rightarrow}5$) and?six showed complete disappearance of symptoms. Slightly symptom improvemented (VAS $9^{\circ}{\rightarrow}8$) one had additional surgery two times after first surgery due to relapse/remaining Glomus tumor. The mean size was 13.9 mm. In histology, six were 'solid glomus tumor', one was a mixture of 'solid glomus tumor' and 'lomangioma' and one was 'malignant glomus tumor'. MR findings showed isointense signal on T1 image, high signal on T2 image and strong enhancement on the Gadolinium enhanced image. Conclusion: Glomus tumor has low recurrence rate and malignant change, rapid diagnosis and surgical excision is critical in treatment to prevent unnecessary pain of patient.

  • PDF

Wearable Art-Chameleon Dress (웨어러블 아트-카멜레온 드레스)

  • Cho, Kyoung-Hee
    • Journal of the Korean Society of Clothing and Textiles
    • /
    • v.32 no.12
    • /
    • pp.1837-1847
    • /
    • 2008
  • The goal of this study is to express the image of chameleons-that change their colors by light, temperature and its mood-into the sexy styles of corresponding coquettish temperamental people in Wearable Art. The method used in this study was experimenting various production mediums, including creating the textured stretch fabric, in the process of expressing the conceptual characteristics of the chameleon in Wearable Art. The concept of the work was a concoction of 'tempting', 'splendid', 'brilliant', 'fascinating', etc. that highlighted the real disposition of the chameleon. The futuristic preference of the researcher was also implicated. "Comfortable" and "enjoyable" concepts via motions were improved with the its completeness. The point of the design and production is to express symbolically the chameleon in real life, analyzing its sleek body lines, conditional colors changing, outer skins and the cubic textures. The coquettish temperamental image, the conceptual image of the chameleon, was also expressed by implication into the whole work. The entire line of this work is body-conscious silhouette. It was symbolically selected to image the outline of the chameleon that has the slim and sleek body. The exposed back is intended to express symbolically the projected back bones of the chameleon. The hood of gentle triangle line expresses the smooth-lined head part. The irregular hemlines represent the elongated chameleon's tale. The chameleon with its colors of vivid tones is characterized the colors changing by its conditions. This point was importantly treated in the working process by trying the effects that the colors are seen slightly different according to the light and angles. The material was given the effect that its surface colors are seen different in lights and angles because of the wrinkles protruded lumpy-bumpy. The various stones of red and blue tones are very similar to the skin tones of the real chameleon, and their gradation makes the effect that the colors are visibly changed with each move. The textures of the chameleon were produced via the wrinkle effect of smoke-shape, which is the result of using the elastic threads on the basic mediums stitched with 50/50 chiffon and polyester along with velvet dot patterns. The stretching fabric by the impact of the elastic threads is as much suitable for making the body-conscious line. The stones are composed of acrylic cabochon and gemstone. They are symbolically expressed the lumpy and bumpy back skin of the chameleon and produced the effect of the colors visibly different. The primary technique used in this dress is the draping utilizing the biased grains. The front body piece is connected to the hood and joined to the back piece without any seam. For the irregular hemline flares, leaving the several rectangular pieces with bias grains, they were connected by interlocking. What defines the clothes is the person in action. Therefore, what decides the completeness of clothes might be its comfortable and enjoyable feeling by living and acting people. The chameleon dress could also reach its goal of comforting and pleasing Wearable Art in the process of studying the techniques and effects that visibly differentiate the colors. It is considered as a main point of the Wearable Art, which is a comfortable enjoyable clothing tempered with the artistic beauty.

Detection of Illegal U-turn Vehicles by Optical Flow Analysis (옵티컬 플로우 분석을 통한 불법 유턴 차량 검지)

  • Song, Chang-Ho;Lee, Jaesung
    • The Journal of Korean Institute of Communications and Information Sciences
    • /
    • v.39C no.10
    • /
    • pp.948-956
    • /
    • 2014
  • Today, Intelligent Vehicle Detection System seeks to reduce the negative factors, such as accidents over to get the traffic information of existing system. This paper proposes detection algorithm for the illegal U-turn vehicles which can cause critical accident among violations of road traffic laws. We predicted that if calculated optical flow vectors were shown on the illegal U-turn path, they would be cause of the illegal U-turn vehicles. To reduce the high computational complexity, we use the algorithm of pyramid Lucas-Kanade. This algorithm only track the key-points likely corners. Because of the high computational complexity, we detect center lane first through the color information and progressive probabilistic hough transform and apply to the around of center lane. And then we select vectors on illegal U-turn path and calculate reliability to check whether vectors is cause of the illegal U-turn vehicles or not. Finally, In order to evaluate the algorithm, we calculate process time of the type of algorithm and prove that proposed algorithm is efficiently.

Detection of Gaze Direction for the Hearing-impaired in the Intelligent Space (지능형 공간에서 청각장애인의 시선 방향 검출)

  • Oh, Young-Joon;Hong, Kwang-Jin;Kim, Jong-In;Jung, Kee-Chul
    • The KIPS Transactions:PartB
    • /
    • v.18B no.6
    • /
    • pp.333-340
    • /
    • 2011
  • The Human-Computer Interaction(HCI) is a study of the method for interaction between human and computers that merges the ergonomics and the information technology. The intelligent space, which is a part of the HCI, is an important area to provide effective user interface for the disabled, who are alienated from the information-oriented society. In the intelligent space for the disabled, the method supporting information depends on types of disability. In this paper, we only support the hearing-impaired. It is material to the gaze direction detection method because it is very efficient information provide method to present information on gazing direction point, except for the information provide location perception method through directly contact with the hearing-impaired. We proposed the gaze direction detection method must be necessary in order to provide the residence life application to the hearing-impaired like this. The proposed method detects the region of the user from multi-view camera images, generates candidates for directions of gaze for horizontal and vertical from each camera, and calculates the gaze direction of the user through the comparison with the size of each candidate. In experimental results, the proposed method showed high detection rate with gaze direction and foot sensing rate with user's position, and showed the performance possibility of the scenario for the disabled.

Efficient Intermediate Joint Estimation using the UKF based on the Numerical Inverse Kinematics (수치적인 역운동학 기반 UKF를 이용한 효율적인 중간 관절 추정)

  • Seo, Yung-Ho;Lee, Jun-Sung;Lee, Chil-Woo
    • Journal of the Institute of Electronics Engineers of Korea SP
    • /
    • v.47 no.6
    • /
    • pp.39-47
    • /
    • 2010
  • A research of image-based articulated pose estimation has some problems such as detection of human feature, precise pose estimation, and real-time performance. In particular, various methods are currently presented for recovering many joints of human body. We propose the novel numerical inverse kinematics improved with the UKF(unscented Kalman filter) in order to estimate the human pose in real-time. An existing numerical inverse kinematics is required many iterations for solving the optimal estimation and has some problems such as the singularity of jacobian matrix and a local minima. To solve these problems, we combine the UKF as a tool for optimal state estimation with the numerical inverse kinematics. Combining the solution of the numerical inverse kinematics with the sampling based UKF provides the stability and rapid convergence to optimal estimate. In order to estimate the human pose, we extract the interesting human body using both background subtraction and skin color detection algorithm. We localize its 3D position with the camera geometry. Next, through we use the UKF based numerical inverse kinematics, we generate the intermediate joints that are not detect from the images. Proposed method complements the defect of numerical inverse kinematics such as a computational complexity and an accuracy of estimation.

Eye Tracking Using Neural Network and Mean-shift (신경망과 Mean-shift를 이용한 눈 추적)

  • Kang, Sin-Kuk;Kim, Kyung-Tai;Shin, Yun-Hee;Kim, Na-Yeon;Kim, Eun-Yi
    • Journal of the Institute of Electronics Engineers of Korea CI
    • /
    • v.44 no.1
    • /
    • pp.56-63
    • /
    • 2007
  • In this paper, an eye tracking method is presented using a neural network (NN) and mean-shift algorithm that can accurately detect and track user's eyes under the cluttered background. In the proposed method, to deal with the rigid head motion, the facial region is first obtained using skin-color model and con-nected-component analysis. Thereafter the eye regions are localized using neural network (NN)-based tex-ture classifier that discriminates the facial region into eye class and non-eye class, which enables our method to accurately detect users' eyes even if they put on glasses. Once the eye region is localized, they are continuously and correctly tracking by mean-shift algorithm. To assess the validity of the proposed method, it is applied to the interface system using eye movement and is tested with a group of 25 users through playing a 'aligns games.' The results show that the system process more than 30 frames/sec on PC for the $320{\times}240$ size input image and supply a user-friendly and convenient access to a computer in real-time operation.

A Study on the Architectural Transformation of the Hall of Bhaisajyaguru(Healing) Budda(藥師殿) in Chung Yang Temple(正陽寺) -from the main source of the travelogues on Mt. Kumgang. - (정양사(正陽寺) 약사전의 건축사적 변천 - 금강산 기행문을 중심으로 -)

  • Kang, Pyonghee
    • Journal of architectural history
    • /
    • v.12 no.3
    • /
    • pp.163-179
    • /
    • 2003
  • The records of about 60 travel essays of the Hall of Bhaisajyaguru(Healing) Budda which was built in Chung Yang Temple passed down since 1525. The chronological change of that Hall architecture according to each period was traced upon. The building structure of the Hall of Bhaisajyaguru Budda which has a roundabout way, and 6 pillars inside, sometimes each 6 pillars inside and outside is hexagonal, one story building in Japanese colonial period(picture 3-1) or the present(picture 3-3). The panaromic picture of Chung Yang Temple shows no alterations of the layout of buildings(picture 1-1), in which the Hall of $Praj{\tilde{n}}{\bar{a}}$(般若殿), the main building in the center and the Hall of Bhaisajyaguru(Healing) Budda, three story stone pagoda, stone lighthouse in front of it became the central axis. The Hall of Bhaisajyaguru(Healing) Budda remained as it was until Japanese invasions in 1592 and 1597. However, it was greatly damaged by the flood in 1717. It was newly built by Lee Ha Gon's leading in 1717-1732. At that time, the interior design was changed. With Bhaisajyaguru(Healing) Budda, 53 Buddhas and ${\acute{S}}arira$ of Stone stupa which show itself by the flood in 1717 was located in the image of the Mountain of Chunchuk or Cheontae like Yu Jeom Temple. The doors of this Hall are located in the front and back. In the four walls each, two realistic and cubic buddhism pictures were drawn, The color of those picture was partly taken off in 1671 and repainted in 1714. The new building in 1717-1732 regained its colorful appearance. However, the names written beside each Images of Buddha disappeared. The notable remark in these records is that some of these travel essays in 17th-18th centuries was calling this hexagonal hall as the octagonal one. It is very important records because it means that before 1525 the octagonal hall might have existed. Chung Yang Temple was rebuilt between 1976 and 1985 after the destruction in the Korean War. After the records are carefully read, the full scale excavation about this historic site was not done yet. The interesting issue of the existence of octagonal building will be resolved by the full scale excavation.

  • PDF

Coastal Shallow-Water Bathymetry Survey through a Drone and Optical Remote Sensors (드론과 광학원격탐사 기법을 이용한 천해 수심측량)

  • Oh, Chan Young;Ahn, Kyungmo;Park, Jaeseong;Park, Sung Woo
    • Journal of Korean Society of Coastal and Ocean Engineers
    • /
    • v.29 no.3
    • /
    • pp.162-168
    • /
    • 2017
  • Shallow-water bathymetry survey has been conducted using high definition color images obtained at the altitude of 100 m above sea level using a drone. Shallow-water bathymetry data are one of the most important input data for the research of beach erosion problems. Especially, accurate bathymetry data within closure depth are critically important, because most of the interesting phenomena occur in the surf zone. However, it is extremely difficult to obtain accurate bathymetry data due to wave-induced currents and breaking waves in this region. Therefore, optical remote sensing technique using a small drone is considered to be attractive alternative. This paper presents the potential utilization of image processing algorithms using multi-variable linear regression applied to red, green, blue and grey band images for estimating shallow water depth using a drone with HD camera. Optical remote sensing analysis conducted at Wolpo beach showed promising results. Estimated water depths within 5 m showed correlation coefficient of 0.99 and maximum error of 0.2 m compared with water depth surveyed through manual as well as ship-board echo-sounder measurements.

A Study on Enhancing the Performance of Detecting Lip Feature Points for Facial Expression Recognition Based on AAM (AAM 기반 얼굴 표정 인식을 위한 입술 특징점 검출 성능 향상 연구)

  • Han, Eun-Jung;Kang, Byung-Jun;Park, Kang-Ryoung
    • The KIPS Transactions:PartB
    • /
    • v.16B no.4
    • /
    • pp.299-308
    • /
    • 2009
  • AAM(Active Appearance Model) is an algorithm to extract face feature points with statistical models of shape and texture information based on PCA(Principal Component Analysis). This method is widely used for face recognition, face modeling and expression recognition. However, the detection performance of AAM algorithm is sensitive to initial value and the AAM method has the problem that detection error is increased when an input image is quite different from training data. Especially, the algorithm shows high accuracy in case of closed lips but the detection error is increased in case of opened lips and deformed lips according to the facial expression of user. To solve these problems, we propose the improved AAM algorithm using lip feature points which is extracted based on a new lip detection algorithm. In this paper, we select a searching region based on the face feature points which are detected by AAM algorithm. And lip corner points are extracted by using Canny edge detection and histogram projection method in the selected searching region. Then, lip region is accurately detected by combining color and edge information of lip in the searching region which is adjusted based on the position of the detected lip corners. Based on that, the accuracy and processing speed of lip detection are improved. Experimental results showed that the RMS(Root Mean Square) error of the proposed method was reduced as much as 4.21 pixels compared to that only using AAM algorithm.