Now showing items 1-10 of 10

  • Driver recognition and driver verification using data mining technigues 

    Benli, Kristin Surpuhi (Işık Üniversitesi, 2007-09-25)
    In this thesis we present our research in driver recognition and driver verification. The goal of this study is to investigate the affect of different classifier fusion techniques on the performance of driver recognition ...
  • Driver Recognition Using Gaussian Mixture Models and Decision Fusion Techniques 

    Benli, Kristin Surpuhi; Düzağaç, Remzi; Eskil, Mustafa Taner (SPRINGER-VERLAG BERLIN, 2008)
    In this paper we present our research in driver recognition. The goal of this study is to investigate the performance of different classifier fusion techniques in a driver recognition scenario. We are using solely driving ...
  • Extraction and selection of muscle based features for facial expression recognition 

    Benli, Kristin Surpuhi; Eskil, Mustafa Taner (IEEE Computer Soc, 2014-08-24)
    In this study we propose a new set of muscle activity based features for facial expression recognition. We extract muscular activities by observing the displacements of facial feature points in an expression video. The ...
  • Facial expression recognition based on anatomy 

    Eskil, Mustafa Taner; Benli, Kristin Surpuhi (Academic Press INC Elsevier Science, 2014-02)
    In this study, we propose a novel approach to facial expression recognition that capitalizes on the anatomical structure of the human face. We model human face with a high-polygon wireframe model that embeds all major ...
  • Facial expression recognition based on facial anatomy 

    Benli, Kristin Surpuhi (Işık Üniversitesi, 2013-06-06)
    In this thesis we propose to determine the underlying muscle forces that compose a facial expression under the constraint of facial anatomy. Muscular activities are novel features that are highly representative of facial ...
  • Implicit theories and self-efficacy in an introductory programming course 

    Tek, Faik Boray; Benli, Kristin Surpuhi; Deveci, Ezgi (IEEE-Inst Electrical Electronics Engineers Inc, 2018-08-01)
    Contribution: This paper examined student effort and performance in an introductory programming course with respect to student-held implicit theories and self-efficacy. Background: Implicit theories and self-efficacy ...
  • İfade tanıma için yüz anatomisine dayali öznitelikler 

    Benli, Kristin Surpuhi; Eskil, Mustafa Taner (IEEE, 2014-04-23)
    In this study we propose a set of anatomy based features for facial expression recognition. The muscle forces that constitute an expression are solved by tracking carefully selected facial feature points. These points are ...
  • Nearest neighbor weighted average customization for modeling faces 

    Abeysundera, Hasith Pasindu; Benli, Kristin Surpuhi; Eskil, Mustafa Taner (Springer Berlin Heidelberg, 2013-10)
    In this paper, we present an anatomically accurate generic wireframe face model and an efficient customization method for modeling human faces. We use a single 2D image for customization of the generic model. We employ ...
  • Programlamaya giriş dersi öğrencilerinin öz yeterlilik algıları ve derse yönelik tutumlarının cinsiyet ve eǧitim diline göre incelenmesi 

    Deveci, Ezgi; Aydın, Damla; Benli, Kristin Surpuhi; Tek, Faik Boray (IEEE, 2017)
    The purpose of this study is to examine generalized self-efficacy and attitudes of the F.M.V. Isik University Engineering Faculty students of Introduction to Programming Course (CSE101) with respect to student gender and ...
  • Semi-automatic adaptation of high-polygon wireframe face models through inverse perspective projection 

    Benli, Kristin Surpuhi; Ağdoğan, Didem; Özgüz, Mete; Eskİl, Mustafa Taner (Springer-Verlag, 2011-09-26)
    Precise registration of a generic 3D face model with a subject's face is a critical stage for model based analysis of facial expressions. In this study we propose a semi-automatic model fitting algorithm to fit a high-polygon ...