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Konu "Human face recognition (Computer science)" için Bilgisayar Mühendisliği listeleme

Konu "Human face recognition (Computer science)" için Bilgisayar Mühendisliği listeleme

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  • 3D face registration using multiple average models 
    Alyüz, Neşe. (Thesis (M.S.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2008., 2008.)
    Three dimensional (3D) face recognition is a frequently used biometric method and its performance is substantially dependent on the accuracy of registration. In this work, we explore registration techniques. Registration ...
  • Biologically motivated 3D face recognition 
    Salah, Albert Ali. (Thesis (Ph.D.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2007., 2007.)
    Face recognition has been an active area of study for both computer vision and image processing communities, not only for biometrics but also for human-computer interaction applications. The purpose of the present work is ...
  • Cross-pose facial expression recognition 
    Güney, Fatma. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2012., 2012.)
    Automatic facial expression recognition is a popular research topic due to its interesting applications in a wide variety of areas. The existing studies have achieved high accuracies in various formulations of the same ...
  • Facial feature tracking and expression recognition for sign language 
    Arı, İsmail. (Thesis (M.S.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2008., 2008.)
    Extracting and tracking facial features in image sequences automatically is a required first step in many applications including expression classification. When sign language recognition is concerned, expressions imply ...
  • Fusing local appearance mosdels for face recognition 
    Arar, Nuri Murat. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2012., 2012.)
    Face recognition is a popular research area due to its scienti c challenges and potential applications. Therefore, it attracts attention from both diverse research communities and the industry for several years. Various ...
  • Multimodal biometric verification and identification using face and hand 
    Sürer, Elif. (Thesis (M.S.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2007., 2007.)
    The goal of this thesis is to develop user interfaces that identify and verify legitimate users in real-time due to their biometric characteristics. Face and hand geometry were the biometric identifiers that were used in ...
  • Part-based 3D face recognition under pose and expression variations 
    Dibeklioğlu, Hamdi. (Thesis (M.S.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2008., 2008.)
    The advances in sensor technologies and the several years of research in recognition of biometric modalities increased the expectations from 3D face recognition systems. An important reason of scientific interest on 3D ...
  • Three dimensional face recognition 
    Gökberk, Berk. (Thesis (Ph.D.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2006., 2006.)
    In this thesis, we attack the problem of identifying humans from their three dimensional facial characteristics. For this purpose, a complete 3D face recognition system is developed. We divide the whole system into ...
  • Three dimensional face recognition under occlusion variance 
    Alyüz, Neşe. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2013., 2013.)
    With advances in sensor technology, three dimensional (3D) face has become an emerging biometric modality, preferred especially in high security applications. However, dealing with occlusions covering the facial surface ...
  • Video and image based face analysis with extreme learning machines 
    Gürpınar, Furkan. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2017., 2017.)
    Automatic analysis of human behavior has been a difficult problem due to noise, environmental differences and lack of annotation. While lab-controlled data provides an easier learning experiment, “in the wild” datasets require ...