Browsing by Author "Akarun, Lale."

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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 ...
  • 3D human pose estimation from multi-view RGB images 
    Temiz, Hüseyin. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2019., 2019.)
    Recovery of a 3D human pose from cameras has been the subject of intensive research in the last decade. Algorithms that can estimate the 3D pose from a single image have been developed. At the same time, many camera ...
  • A general object tracker for locating objects in digital video 
    Fidaner, Işık Barış. (Thesis (M.S.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2008., 2008.)
    Tracking a human head in a complicated scene with changing object pose, illumination conditions, and many occluding objects, is the subject of this thesis. A general tracking algorithm is presented, which uses a combination ...
  • Acceleration techniques analysis for GPU ray tracing 
    Sarı, Arif Yetkin. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2011., 2011.)
    With the increasing availability of massively parallel processing capable GPUs in recent years, research on the acceleration of ray tracers has become popular again. Since the rays shot into the scene are independent of ...
  • Alignment and multimodal analysis in signed speech 
    Santemiz, Pınar. (Thesis (M.S.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2009., 2009.)
    In this thesis, we attack the problem of extracting isolated signs from continuous signed speech videos. Signed speech is a language that uses the signs of sign language and the grammar of spoken language. It is a visual ...
  • Analysis and regularization of deep generative second order ordinary differential equations 
    Koyuncu, Batuhan. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2021., 2021.)
    Deep generative models aim to learn processes that are assumed to generate the data. To this end, deep latent variable models use probabilistic frameworks to learn a joint probability distribution over the data and its ...
  • Attention modeling with temporal shift in sign language recognition 
    Çelimli, Ahmet Faruk. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2022., 2022)
    Sign languages (SLs) are the main communication language of deaf people. They are visual languages that establish communication through multiple cues including hand gestures, upper-body movements and facial expressions. ...
  • Bayesian source modelling for single-channel audio separation 
    Dikmen, Onur. (Thesis (Ph.D.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2009., 2009.)
    In many audio processing tasks, such as source separation, denoising or com- pression, it is crucial to construct realistic and flexible models to capture the physical properties of audio signals. This can be accomplished ...
  • 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 ...
  • Biometric identification through hand vein patterns 
    Yüksel, Aycan. (Thesis (M.S.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2010., 2010.)
    Many biometric systems, such as face, fingerprint and iris have been studied extensively for personal verification and identification purposes. Biometric identification with vein patterns is a more recent approach that ...
  • Blur assessment in sign language videos 
    Eryılmaz, Giray Naim. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2022., 2022)
    Blur impairs the sharpness of visual features and the clarity of details. It may sometimes be desired for artistic effect. However, in general, it is regarded as a defect. There are different problems studied about blur, ...
  • Computer vision based multi-lingual fingerspelling recognition 
    Kındıroğlu, Ahmet Alp. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2011., 2011.)
    In this thesis, we focus on the problem of computer vision based automatic signlanguage recognition and its related subtasks. The study focuses on the recognition of ngerspelling gestures, which are a subset of sign ...
  • Computer vision-based human action recognition via keypoint tracking 
    Kara, Yunus Emre. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2011., 2011.)
    Computer vision-based human action recognition is a highly active research area which has many application areas including security, surveillance, assisted living, and entertainment. In this thesis, a new system for computer ...
  • 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 ...
  • Crowd - labelling for continuosun - valued annotations 
    Kara, Yunus Emre. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2018., 2018.)
    As machine learning gained immense popularity across a wide variety of domains in the last decade, it has become more important than ever to have fast and inexpensive ways to annotate vast amounts of data. With the emergence ...
  • Data augmentation on chest x-rays for improving pathology classification performance 
    Adıgüzel, Onur. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2022., 2022)
    In recent years, deep learning techniques have made great progress. We can see applications of it in many fields such as economics, military, healthcare, and so on. Healthcare, in particular, is one of the most critical ...
  • Detection of free-standing conversational groups with graph convolutional networks 
    Atıcı, Efehan. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2022., 2022)
    Automatically detecting conversational groups from video footage is a very in triguing and practical research area with applications in video activity recognition and human-robot interaction. Therefore, there is a critical ...
  • Driver behavior modeling 
    Dal, Ferhat Melih. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2022., 2022)
    Autonomous vehicles are set to be a part of everyday traffic. Their presence in traffic dominated by humans possesses some challenges. Any experience with driving in traffic shows us that each driver is unique in their ...
  • Emotional impact of movies 
    Karslıoğlu İman, Nihan. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2019., 2019.)
    Video emotion estimation has been an active area of research in recent decades. This study area is crucial for personalized content delivery, video recommendation, video summarization, and inappropriate scene censorship. ...
  • 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 ...

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