Contour-based object recognition using attributed string matching

Kaygın, Serkan


Face classification with support vector machine
Kepenekci, B; Akar, Gözde (2004-04-30)
A new approach to feature based frontal face recognition with Gabor wavelets and support vector machines is presented in this paper. The feature points are automatically extracted using the local characteristics of each individual face. A kernel that computes the similarity between two feature vectors, is used to map the face features to a space with higher dimension. To find the identity of a test face, the possible labels of each feature vector of that face is found with support vector machines, then the ...
Discrete wavelet transform based shift invariant analysis scheme for transient sound signals
Wasim, Ahmad; Hacıhabiboğlu, Hüseyin; Kondoz, Ahmet (2010-09-06)
Discrete wavelet transform (DWT) has gained widespread recognition and popularity in signal processing due to its ability to underline and represent time-varying spectral properties of many transient and other nonstationary signals. However, DWT is a shift-variant transform. This shift-variance is a major problem with the use of DWT for transient signal analysis and pattern recognition applications. A number of modified forms of DWT have been investigated in recent years that provide approximate shift-invar...
Infrared face recognition
Konuk, Uğur; Akar, Gözde; Department of Electrical and Electronics Engineering (2015)
Face recognition is a leading biometrics technique that fulfills the increasing need to identify a person in today’s world. Face recognition also has broad range of utilization, such as commercial and law enforcement applications. That is the reason why it still gathers a lot of attention and is an active research topic. Nevertheless visible spectrum face recognition algorithms are not free of challenges. Illumination, pose, expression variances and existence of facial disguises still degrade the performanc...
Zero crossing counter for accuracy improvement of FMCW range detection
Kurt, Sinan; Demir, Şimşek; Hizal, Altunkan (2008-01-01)
For civil and military purposes FMCW radars are widely used. The theoretical background is well-established. Nevertheless, improvement of various aspects of these radars is still required. Signal processing is one of the crucial points of the system which determines the capabilities of the radar. In this study a zero crossing detector implementation, which can be efficiently used for target detection and range calculation in short range FMCW range detector is proposed. The duration between consecutive zero-...
Facial feature extraction using deformable templates
Serçe, Hakan; Halıcı, Uğur; Department of Information Systems (2003)
The purpose of this study is to develop an automatic facial feature extraction system, which is able to identify the detailed shape of eyes, eyebrows and mouth from facial images. The developed system not only extracts the location information of the features, but also estimates the parameters pertaining the contours and parts of the features using parametric deformable templates approach. In order to extract facial features, deformable models for each of eye, eyebrow, and mouth are developed. The developme...
Citation Formats
S. Kaygın, “Contour-based object recognition using attributed string matching,” Ph.D. - Doctoral Program, Middle East Technical University, 2001.