• 제목/요약/키워드: Face manipulation

검색결과 28건 처리시간 0.024초

비디오 상의 얼굴에 대한 3차원 변형 시스템 (A System for 3D Face Manipulation in Video)

  • 박정식;서병국;박종일
    • 방송공학회논문지
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    • 제24권3호
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    • pp.440-451
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    • 2019
  • 본 논문에서는 비디오 상의 얼굴을 사용자가 원하는 대로 3차원적으로 변형시켜볼 수 있도록 하는 시스템을 제안한다. 제안된 시스템의 3차원 얼굴 변형은 비디오 프레임의 얼굴 영역에 사용자가 변형을 가한 3차원 얼굴 모델을 덮어 씌우는 방식으로서, 기존의 애플리케이션이나 방법과 달리 비디오 상에서 3차원 변형을 실시간으로 가할 수 있도록 한다. 이를 위해 변형 가능한 3차원 얼굴 모델을 영상과 정합하고, 동시에 사용자가 가한 변형을 정합된 모델에 적용, 프레임 영상을 텍스처 매핑하여 렌더링한다. 이러한 과정은 많은 연산을 요하기 때문에 기능별로 소프트웨어 모듈을 나눠 각각의 쓰레드에서 병렬적으로 처리하도록 구현함으로써 실시간 처리가 가능하도록 하였다. 실험 결과를 통해 비디오 상의 얼굴의 눈 주변, 코, 턱, 볼 등 부위들에 대해, 기존 애플리케이션에 비해 자연스러운 변형을 실시간으로 가할 수 있음을 확인할 수 있다.

Cascaded-Hop For DeepFake Videos Detection

  • Zhang, Dengyong;Wu, Pengjie;Li, Feng;Zhu, Wenjie;Sheng, Victor S.
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제16권5호
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    • pp.1671-1686
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    • 2022
  • Face manipulation tools represented by Deepfake have threatened the security of people's biological identity information. Particularly, manipulation tools with deep learning technology have brought great challenges to Deepfake detection. There are many solutions for Deepfake detection based on traditional machine learning and advanced deep learning. However, those solutions of detectors almost have problems of poor performance when evaluated on different quality datasets. In this paper, for the sake of making high-quality Deepfake datasets, we provide a preprocessing method based on the image pixel matrix feature to eliminate similar images and the residual channel attention network (RCAN) to resize the scale of images. Significantly, we also describe a Deepfake detector named Cascaded-Hop which is based on the PixelHop++ system and the successive subspace learning (SSL) model. By feeding the preprocessed datasets, Cascaded-Hop achieves a good classification result on different manipulation types and multiple quality datasets. According to the experiment on FaceForensics++ and Celeb-DF, the AUC (area under curve) results of our proposed methods are comparable to the state-of-the-art models.

Effect of First-Stage Growth Manipulation and Polarity of SiC Substrates on AlN Epilayers Grown Using Plasma-Assisted Molecular Beam Epitaxy

  • Le, Duy Duc;Kim, Dong Yeob;Hong, Soon-Ku
    • 한국재료학회지
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    • 제24권5호
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    • pp.266-270
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    • 2014
  • Aluminum nitride(AlN) films were grown on the C-face and on the Si-face of (0001) silicon carbide(SiC) substrates using plasma-assisted molecular-beam epitaxy(PA-MBE). This study was focused on first-stage growth manipulation prior to the start of AlN growth. Al pre-exposure, N-plasma pre-exposure, and simultaneous exposure(Al and N-plasma) procedures were used in the investigation. In addition, substrate polarity and, first-stage growth manipulation strongly affected the growth and properties of the AlN films. Al pre-exposure on the C-face and on the Si-face of SiC substrates prior to initiation of the AlN growth resulted in the formation of hexagonal hillocks on the surface. However, crack formation was observed on the C-face of SiC substrates without Al pre-exposure. X-ray rocking-curve measurements revealed that the AlN epilayers grown on the Si-face of the SiC showed relatively lower tilt and twist mosaic than did the epilayers grown on the C-face of the SiC. The results from the investigations reported in this paper indicate that the growth conditions on the Si-face of the SiC without Al pre-exposure was highly preferred to obtain the overall high-quality AlN epilayers formed using PA-MBE.

담화속 영어 억양교육의 효율성에 대한 실험연구: 혼합교수모듈을 중심으로 (A Study on the Efficacy of Teaching English Discourse Intonation: Blended Learning)

  • 김희경
    • 음성과학
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    • 제14권3호
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    • pp.31-46
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    • 2007
  • This study attempts to investigate that the training of pitch manipulation would help Korean speakers reduce the intonation errors based on the review of many previous studies on Korean speakers' phonetic realization of intonation. The previous studies have indicated that Korean speakers have problems with pitch manipulation in their production of English word stress, sentence stress, and eventually intonation. To train Korean speakers phonetically realize English pitch patterns, a blended learning module was operated for two weeks: face-to-face instruction for six hours and e-learning instruction for three hours in total. This module was designed to help Korean speakers realize pitch as a distinctive phoneme. An acoustic assessment on five Korean female English speakers shows that the training of pitch manipulation helps Korean English speakers reduce the intonation errors indicated in the previous studies reviewed.

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반자동 영상 캐릭터 설계 시스템 (A Semi-Automated Image Character Design System)

  • 안재민;유현우;장동식
    • 한국경영과학회:학술대회논문집
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    • 대한산업공학회/한국경영과학회 2002년도 춘계공동학술대회
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    • pp.1093-1096
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    • 2002
  • In this paper, a new semi-automated cyber character generating method is presented. Local edge detection tools extract face contour from graphic image files. Some graphic manipulation process detailed touch to obtain neat face contour. This method shortens the making process dramatically while maintaining the good quality similar to real face image. Some of the processed images are illustrated for clear explanation.

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Facial Feature Extraction with Its Applications

  • Lee, Minkyu;Lee, Sangyoun
    • Journal of International Society for Simulation Surgery
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    • 제2권1호
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    • pp.7-9
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    • 2015
  • Purpose In the many face-related application such as head pose estimation, 3D face modeling, facial appearance manipulation, the robust and fast facial feature extraction is necessary. We present the facial feature extraction method based on shape regression and feature selection for real-time facial feature extraction. Materials and Methods The facial features are initialized by statistical shape model and then the shape of facial features are deformed iteratively according to the texture pattern which is selected on the feature pool. Results We obtain fast and robust facial feature extraction result with error less than 4% and processing time less than 12 ms. The alignment error is measured by average of ratio of pixel difference to inter-ocular distance. Conclusion The accuracy and processing time of the method is enough to apply facial feature based application and can be used on the face beautification or 3D face modeling.

Face Recognition Using a Facial Recognition System

  • Almurayziq, Tariq S;Alazani, Abdullah
    • International Journal of Computer Science & Network Security
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    • 제22권9호
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    • pp.280-286
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    • 2022
  • Facial recognition system is a biometric manipulation. Its applicability is simpler, and its work range is broader than fingerprints, iris scans, signatures, etc. The system utilizes two technologies, such as face detection and recognition. This study aims to develop a facial recognition system to recognize person's faces. Facial recognition system can map facial characteristics from photos or videos and compare the information with a given facial database to find a match, which helps identify a face. The proposed system can assist in face recognition. The developed system records several images, processes recorded images, checks for any match in the database, and returns the result. The developed technology can recognize multiple faces in live recordings.

트랜스포머 기반 판별 특징 학습 비전을 통한 얼굴 조작 감지 (Facial Manipulation Detection with Transformer-based Discriminative Features Learning Vision)

  • ;김민수;최필주;이석환;;권기룡
    • 한국정보처리학회:학술대회논문집
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    • 한국정보처리학회 2023년도 추계학술발표대회
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    • pp.540-542
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    • 2023
  • Due to the serious issues posed by facial manipulation technologies, many researchers are becoming increasingly interested in the identification of face forgeries. The majority of existing face forgery detection methods leverage powerful data adaptation ability of neural network to derive distinguishing traits. These deep learning-based detection methods frequently treat the detection of fake faces as a binary classification problem and employ softmax loss to track CNN network training. However, acquired traits observed by softmax loss are insufficient for discriminating. To get over these limitations, in this study, we introduce a novel discriminative feature learning based on Vision Transformer architecture. Additionally, a separation-center loss is created to simply compress intra-class variation of original faces while enhancing inter-class differences in the embedding space.

Case Series: Successful Resuscitation of Severe Facial Injuries Caused by a Chainsaw

  • Choi, Han Joo
    • Journal of Trauma and Injury
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    • 제32권3호
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    • pp.168-171
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    • 2019
  • The treatment outcome remains poor of severe facial injuries because of the high risk of compromised airway or massive bleeding. We experienced two successful treatment cases of severe facial injury by the chainsaw. A 52-year-male had his face injured by the chainsaw during his work. He was transferred to the Level I trauma center using the Doctor-Helicopter. During his flight, bleeding control was tried and the information was given to the trauma surgeons before his arrival. His consciousness was alert and the vital signs were stable. The crushing wound, mandible open fracture, deep laceration of tongue, lip, neck and arterial bleeding were noted around his mandible. Nasotracheal intubation was performed under the bronchoscope-guided. Emergency operation (open reduction & internal fixation, primary repair with neurorrhaphy) was performed. At 30 hospital days, he was discharged with facial palsy on left mandibular area. A 30-year-male had his face injured by the chainsaw. He was transferred to our Level I trauma center from the local hospital. The deep-mutiple lacerations on right upper eyelid and forehead with the bony exposure were noted. The vital signs were stable and emergency operation was performed. He was discharged at 20 hospital days. Bone loss or tissue loss were not devastating than we expected even though the injury was occurred by the chainsaw. Aggressive treatment including airway manipulation or bleeding control and maximal opportunity of therapy are absolutely needed.

Choice versus Given: Influence of Choice on Effectiveness of Retailers' Sweepstakes Promotion

  • Meeja IM
    • 유통과학연구
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    • 제21권6호
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    • pp.39-49
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    • 2023
  • Purpose: This paper aims to investigate the influence of different methods of distributing sweepstakes (i.e., whether consumers choose to enter into the sweepstakes themselves or they are given the sweepstake ticket by default) on the effectiveness of the sweepstakes promotion (i.e., interest in the sweepstakes and intention to participate in the sweepstakes). Research design, data and methodology: The paper verifies this effect through three experimental studies: an online experiment using a sweepstakes promotion scenario at a department store, an online SNS sweepstakes promotion event, and a face-to-face card lottery game. Results: Participants belonging the group that chose sweepstakes tickets by themselves showed higher interest and intention to participate in the sweepstakes than those who were given the sweepstakes ticket by default. Furthermore, the group that chose the sweepstakes card thought it had a higher probability of winning than the group given the sweepstakes card. Conclusions: This paper shows a way to enhance the promotional effect of sweepstakes in the retail stores, without incurring additional costs, by approaching from sweepstakes design from the psychological perspective of the consumer. The study also sheds new light on the effect of sense of control manipulation using choice behavior in the promotional context.