• Proceedings of the KOR-BRONCHOESO Conference
• /
• 1972.03a
• /
• pp.17.4-17
• /
• 1972

A 26 year-old Korean woman was visited to Chunnam University Hospital on January 15, 1971 with chief complaints of facial nerve paralysis, hearing impairment, painful swelling on the temporal region and aural discharge. The histopathological Examination proved to be a squamous cell carcinoma.

• Proceedings of the Korea Multimedia Society Conference
• /
• 2002.05c
• /
• pp.291-294
• /
• 2002

본 논문은 얼굴 영역 및 얼굴 구성 요소의 얼굴 특징점을 추출하는 방법을 제안한다. 얼굴 특징점은 얼굴 인식을 하는데 있어서 중요한 자료이다. 얼굴 영역은 객체 단위 추출 방법을 사용하여 얼굴의 고유 영역만을 추출한다. 얼굴의 구성요소는 각 요소간의 기하학적 정보를 이용하여 얼굴 영역 내에서 추출해 간다. 얼굴 구성요소의 특징점은 미리 정해진 위치에서 특징점을 결정한다. 그리고 이런 특징점간의 상호 연관관계를 설정한다.

• Imaging Science in Dentistry
• /
• v.32 no.1
• /
• pp.41-47
• /
• 2002

Osteochondroma is a benign lesion of osseous and cartilagenous origin. It is a relatively common benign tumor of the skeleton, occurring most often in the metaphyseal region of long bone. However, it is rare in the facial bones. Reported foci in the mandible were the condyle, coronoid process, and symphysis region. Synovial chondromatosis is an uncommon benign condition of unknown etiology which affects the articular joints. Foci of cartilage develop through metaplasia in the underlying connective tissue of the synovial membrane. These cartilagenous foci and fragments may undergo calcification and ossification. We experienced 4 patients with abnormal appearance of mandibular condyle. This report describes 3 cases of osteocondroma and 1 case of synovial chondromatosis of the mandibular condyle with review of the literature.

• Journal of Dental Anesthesia and Pain Medicine
• /
• v.20 no.2
• /
• pp.95-99
• /
• 2020

Various dental procedures, such as injection administration, surgical treatment, and endodontic treatment, can cause injury to the nerves. The most commonly injured nerves are the inferior alveolar and lingual nerves. This can manifest as altered sensation to the area of innervation of the injured nerve, such as the lower lip, chin, teeth, tongue, and mucosa. Altered sensations or loss of sensation are relatively infrequent complications in daily dental practice. Here, we report an uncommon case of altered sensation in the midfacial region caused by an endodontic procedure and discuss the need to consider local dental causes in the differential diagnosis of numbness in the facial region.

• The Journal of Korean Institute of Communications and Information Sciences
• /
• v.25 no.6B
• /
• pp.1041-1049
• /
• 2000

A face recognition algorithm for the user identification procedure of automatic teller machine(ATM), as an application of the still image processing techniques is proposed in this paper. In the proposed algorithm, face recognition techniques, especially, face region detection, eye and mouth detection schemes, which can distinguish abnormal faces from normal faces, are proposed. We define normal face, which is acceptable, as a face without sunglasses or a mask, and abnormal face, which is non-acceptable, as that wearing both, or either one of them. The proposed face recognition algorithm is composed of three stages: the face region detection stage, the preprocessing stage for facial feature detection and the eye and mouth detection stage. Experimental results show that the proposed algorithm can distinguish abnormal faces from normal faces accurately from restrictive sample images.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2004.05a
• /
• pp.805-808
• /
• 2004

본 논문에서는 컬러정보를 이용하여 외부 조명의 영향에 대응하면서 얼굴 후보영역을 추출하고, 추출된 후보 영역으로부터 다채널 스킨컬러 모델로 특정 정보를 추출하는 검출 기법을 제시한다. 외부 조명에 민감한 스킨컬러 특성을 고려해 색상정보와 광도를 분리할 수 있는 $YC_rC_b$ 색상모델을 이용하며, Green, Blue 채널의 정보를 Gaussian 확률밀도 모델로부터 $C_b-C_g$의 좁은 범위에 분포되어 있는 스킨컬러 영역 밀도를 모델링한다. 또한 얼굴영역에 Region Restricting과 임계값 반복 알고리즘을 사용하여 눈 영역 검출 과정을 보이고, 실시간 복합 얼굴 검출 시스템 조명방식에 의해 결과를 나타낸다.

• Journal of the Semiconductor & Display Technology
• /
• v.17 no.4
• /
• pp.105-108
• /
• 2018

Face Detection is an essential first step of the face recognition, and this is significant effects on face feature extraction and the effects of face recognition. Face detection has extensive research value and significance. In this paper, we present and analysis the principle, merits and demerits of the classic AdaBoost face detection and ASM algorithm based on point distribution model, which ASM solves the problems of face detection based on AdaBoost. First, the implemented scheme uses AdaBoost algorithm to detect original face from input images or video stream. Then, it uses ASM algorithm converges, which fit face region detected by AdaBoost to detect faces more accurately. Finally, it cuts out the specified size of the facial region on the basis of the positioning coordinates of eyes. The experimental result shows that the method can detect face rapidly and precisely, with a strong robustness.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2018.05a
• /
• pp.675-678
• /
• 2018

Since the face has a unique property to identify human, the face recognition is actively used in a security area and an authentication area such as access control, criminal search, and CCTV. The frontal face image has the most face information. Therefore, it is necessary to acquire the front face image as much as possible for face recognition. In this study, the face region is detected using the Adaboost algorithm using Haar-like feature and tracks it using the mean-shifting algorithm. Then, the feature points of the facial elements such as the eyes and the mouth are extracted from the face region, and the ratio of the two eyes and degree of rotation of the face is calculated using their geographical information, and the approximate front face image is presented in real time.

• Journal of Internet Computing and Services
• /
• v.8 no.6
• /
• pp.155-167
• /
• 2007

There are four types of human beings according to the Sasang Typology, Oriental medical doctors frequently prescribe healthcare information and treatment depending on one's type, The feature ratios (Table 1) on the human face are the most important criterions to decide which type a patient is. In this paper, we proposed a system to extract these feature ratios from the people's side face, There are two challenges in acquiring the feature ratio: one that selecting representative features; the other, that detecting region of interest from human profile facial image effectively and calculating the feature ratio accurately. In our system, an adaptive color model is used to separate human side face from background, and the method based on geometrical model is designed for region of interest detection. Then we present the error analysis caused by image variation in terms of image size and head pose, To verify the efficiency of the system proposed in this paper, several experiments are conducted using about 173 korean's left side facial photographs. Experiment results shows that the accuracy of our system is increased 17,99% after we combine the front face features with the side face features, instead of using the front face features only.

• Journal of Korean Academy of Oral and Maxillofacial Radiology
• /
• v.22 no.2
• /
• pp.283-290
• /
• 1992

The purpose of this study was to evaluate the spatial relationship of facial bone more accurately. For this study, the three-dimensional images of dry skull were reconstructed using computer image analysis system and three-dimensional reconstructive program involved CT. The obtained results were as follows: 1. Three-dimensional reconstructive CT results in images that have better resolution and more contrast 2. It showed good marginal images of anatomical structure on both three-dimensional CT and computer image analysis system, but the roof of orbit, the lacrimal bone and the squamous portion of temporal bone were hardly detectable. 3. The partial loss of image data were observed during the regeneration of saved image data on three-dimensional CT. 4. It saved the more time for reconstruction of three-dimensional images using computer image analysis system. But, the capacity of hardware was limited for inputting of image data and three-dimensional reconstructive process. 5. We could observe the spatial relationship between the region of interest and the surrounding structures by three-dimensional reconstructive images without invasive method.