• Title/Summary/Keyword: Facial analysis

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A CASE REPORT OF SEVERE FACIAL ASYMMETRY WITH TMD (악관절 장애를 동반한 심한 안모 비대칭 환자의 치험례)

  • Kim, Yeo-Gab;Lee, Sang-Chull;Ryu, Dong-Mok;Oh, Sung-Hwan
    • Maxillofacial Plastic and Reconstructive Surgery
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    • v.14 no.4
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    • pp.255-268
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    • 1992
  • There are various modalities in the treatment of facial asymmetry, but in severe case with TMD by actively growing deformed condyle, the treatment choice is removing the condyle growth center and TMD symptom such as click or muscular discomfort. In our one case, the patient was complain of facial asymmetry. There are severe deformed condyle head with bird-head fashion and enlarged mandibular ramus and body vertically about 18 mm, overgrowthed Rt. mandible body horizontally about 20 mm. She had intermittent Lt. TMJ clicking and muscular discomfort. The author diagnosed it as Lt. hemimandibular hyper-plasia & R, hemimandibular elongation, a combination form with TMD. the condyle was in active growing state in scintigraphic analysis. So we extirpated the deformed condyle by intrasoral sagittal split ramus osteotomy and reshaped the condyle and mandibular distal fragment extraorally. The distal fragment was readapted in glenoid fossa and fixated. In Rt. mandibular body area, autogenous onlay bone graft on the inferior border of mandible was performed to correct the asymmetry. The clicking and facial asymmetry was corrected and we report this results with other literature findings.

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CREATING JOYFUL DIGESTS BY EXPLOITING SMILE/LAUGHTER FACIAL EXPRESSIONS PRESENT IN VIDEO

  • Kowalik, Uwe;Hidaka, Kota;Irie, Go;Kojima, Akira
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2009.01a
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    • pp.267-272
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    • 2009
  • Video digests provide an effective way of confirming a video content rapidly due to their very compact form. By watching a digest, users can easily check whether a specific content is worth seeing in full. The impression created by the digest greatly influences the user's choice in selecting video contents. We propose a novel method of automatic digest creation that evokes a joyful impression through the created digest by exploiting smile/laughter facial expressions as emotional cues of joy from video. We assume that a digest presenting smiling/laughing faces appeals to the user since he/she is assured that the smile/laughter expression is caused by joyful events inside the video. For detecting smile/laughter faces we have developed a neural network based method for classifying facial expressions. Video segmentation is performed by automatic shot detection. For creating joyful digests, appropriate shots are automatically selected by shot ranking based on the smile/laughter detection result. We report the results of user trials conducted for assessing the visual impression with automatically created 'joyful' digests produced by our system. The results show that users tend to prefer emotional digests containing laughter faces. This result suggests that the attractiveness of automatically created video digests can be improved by extracting emotional cues of the contents through automatic facial expression analysis as proposed in this paper.

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Real-Time Automatic Tracking of Facial Feature (얼굴 특징 실시간 자동 추적)

  • 박호식;배철수
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.8 no.6
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    • pp.1182-1187
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    • 2004
  • Robust, real-time, fully automatic tracking of facial features is required for many computer vision and graphics applications. In this paper, we describe a fully automatic system that tracks eyes and eyebrows in real time. The pupils are tracked using the red eye effect by an infrared sensitive camera equipped with infrared LEDs. Templates are used to parameterize the facial features. For each new frame, the pupil coordinates are used to extract cropped images of eyes and eyebrows. The template parameters are recovered by PCA analysis on these extracted images using a PCA basis, which was constructed during the training phase with some example images. The system runs at 30 fps and requires no manual initialization or calibration. The system is shown to work well on sequences with considerable head motions and occlusions.

Analysis of Facial Asymmetry

  • Choi, Kang Young
    • Archives of Craniofacial Surgery
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    • v.16 no.1
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    • pp.1-10
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    • 2015
  • Facial symmetry is an important component of attractiveness. However, functional symmetry is favorable to aesthetic symmetry. In addition, fluctuating asymmetry is more natural and common, even if patients find such asymmetry to be noticeable. However, fluctuating asymmetry remains difficult to define. Several studies have shown that a certain level of asymmetry could generate an unfavorable image. A natural profile is favorable to perfect mirror-image profile, and images with canting and differences less than $3^{\circ}-4^{\circ}$ and 3-4 mm, respectively, are generally not recognized as asymmetry. In this study, a questionnaire survey among 434 medical students was used to evaluate photos of Asian women. The students preferred original images over mirror images. Facial asymmetry was noticed when the canting and difference were more than $3^{\circ}$ and 3 mm, respectively. When a certain level of asymmetry is recognizable, correcting it can help to improve social life and human relationships. Prior to any operation, the anatomical component for noticeable asymmetry should be understood, which can be divided into hard tissues and soft tissue. For diagnosis, two-and three-dimensional (3D) photogrammetry and radiometry are used, including photography, laser scanner, cephalometry, and 3D computed tomography.

Analysis of Clinical Research Trends for Acupotomy Treatment of Peripheral Facial Palsy

  • Jeon, Seok Hee;Choi, Ji Min;Yoo, Jae Hee;Shin, Jeong Cheol
    • Journal of Acupuncture Research
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    • v.38 no.4
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    • pp.276-283
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    • 2021
  • The purpose of this review was to investigate acupotomy treatment for peripheral facial palsy. By reviewing recent clinical trends, this may contribute to standardizing acupotomy treatment methods. There were 7 randomized controlled trials and 6 case series using acupotomy treatment for peripheral facial palsy published between January 01, 2014 and April 05, 2021, which were retrieved from 9 online databases. The number and characteristics of participants, main treatment sites, combination treatments, size of acupotomy needle, frequency and total period of treatment, evaluation indices, efficacy, and adverse events were analyzed. "Tender point or induration," "infraorbical foramen," and "buccal mucosa" were the most used treatment sites. The sizes of acupotomy needles varied from 20 mm to 80 mm in length, and 0.35 mm to 1.0 mm in diameter. One treatment cycle was performed every 3 to 5-7 days, and the number of treatments per treatment session ranged from 3 to 5-9 cycles. The results were evaluated using 1 to 4 evaluation indices and 9 different evaluation indices were used overall. The efficacy rate was the most used index, followed by the House-Brackmann grade, and electrocardiography. The "Risk of Bias 2," categorized most studies as having "some concerns." There were few adverse events reported.

Trends and Future Directions in Facial Expression Recognition Technology: A Text Mining Analysis Approach (얼굴 표정 인식 기술의 동향과 향후 방향: 텍스트 마이닝 분석을 중심으로)

  • Insu Jeon;Byeongcheon Lee;Subeen Leem;Jihoon Moon
    • Proceedings of the Korea Information Processing Society Conference
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    • 2023.05a
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    • pp.748-750
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    • 2023
  • Facial expression recognition technology's rapid growth and development have garnered significant attention in recent years. This technology holds immense potential for various applications, making it crucial to stay up-to-date with the latest trends and advancements. Simultaneously, it is essential to identify and address the challenges that impede the technology's progress. Motivated by these factors, this study aims to understand the latest trends, future directions, and challenges in facial expression recognition technology by utilizing text mining to analyze papers published between 2020 and 2023. Our research focuses on discerning which aspects of these papers provide valuable insights into the field's recent developments and issues. By doing so, we aim to present the information in an accessible and engaging manner for readers, enabling them to understand the current state and future potential of facial expression recognition technology. Ultimately, our study seeks to contribute to the ongoing dialogue and facilitate further advancements in this rapidly evolving field.

Review on the Development of 3-Dimensional Face Recognition and Measurement for the Design of Respirators (호흡보호구 디자인을 위한 삼차원 얼굴인식 및 측정에 관한 고찰)

  • Kim, Hyunwook;Kim, Kangyoon
    • Journal of Korean Society of Occupational and Environmental Hygiene
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    • v.11 no.2
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    • pp.92-101
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    • 2001
  • This article reviewed previous studies on the 3D face recognition and anthropometric facial analysis to design suitable respirators for individuals. 3D facial anthropometric data have not been reported in Korea yet. With 3D facial data, it is possible to design and to manufacture respirators having more effective respirator-face seal and thus providing more comfortable wearing than donning of those respirators designed using 1 and 2-dimensional data. Also 3D data could be used for respirator fit-testing and selecting suitable respirator type and size by computer simulation without several steps of fit-test to each individual worker.

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Facial Impression Analysis Using SVM (SVM을 이용한 얼굴 인상 분석)

  • Jang, Kyung-Shik;Woo, Young-Woon
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2007.10a
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    • pp.965-968
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    • 2007
  • In this paper, we propose an efficient method to classify human facial impression using face image. The features that represent the shape of eye, jaw and face are used. The proposed method employs PCA, LDA and SVM in series. Human face has been classified for 8 facial impressions. The experiments have been performed for many face images, and show encouraging result.

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Evaluation of Friction Coefficient according to Environmental Temperature of Ultra high molecular weight polyethylene (초고분자량 폴리에틸렌의 환경온도에 따른 마찰계수 평가)

  • Lee, Jong Suk;Park, Jin Young;Lee, Bong Chun;Lee, Dong Hoon;Lee, Sang Soo
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 2018.05a
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    • pp.257-258
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    • 2018
  • PTFE(polytetrafluoroetylene) is widely used as representative sliding friction materials, but there could be difficulties in applying it to various industry fields by the shortage of carrying capacity under high facial pressure and by the change of friction coefficient according to the environmental conditions. Accordingly, this study was to do comparative analysis on the friction coefficient by environmental temperature at the same facial pressure of UHMWPE which was mainly used as sliding friction materials under high facial pressure. In addition, this study was to proceed with the double shear structure by using two test specimen in order to minimize the frictional forces.

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