Binnur Kurt

DEEPCLOUDLABS

In this study we developed AAM based on face alignment method which handles illumination and pose variations. The classical AAM fails to model the appearances of the same identity under different illuminations and poses. We solved this problem by inserting histogram fitting into the searching mechanism and inserting synthetically generated poses

This paper presents two shape descriptors which could be applied to both binary and grayscale images. The proposed algorithm utilizes gradient based features which are extracted along the object boundaries. We use two-dimensional steerable G-Filters (IEEE Trans Pattern Anal Mach Intell 19(6):545–563, 1997) to obtain gradient information at differen...

In many vision applications, there is a great demand for an edge which can produce edge maps with very different characteristics in nature, so that one of these edge maps may meet the requirements of the problem under consideration. Unfortunately it is not evident how to choose the desired or the optimum edge maps from these solutions that the edge...

In many vision applications, there is a great demand for an edge detector which can produce edge maps with very different characteristics in nature, so that one of these edge maps may meet the requirements of the problem under consideration. Unfortunately it is not evident how to choose the desired or the optimum edge maps from these solutions that...

This paper presents affine-invariant shape descriptor which could be applied to both binary and gray-level images. The proposed algorithm utilizes gradient based features which are extracted along the object boundaries. We use two-dimensional steerable G-Filters ([1]) to obtain gradient information at different orientations and scales. We aggregate...

In building a face recognition system for real-life scenarios, one usually faces the problem that is the selection of a feature-space and preprocessing methods such as alignment under varying illumination conditions and poses. In this study, we developed a robust face alignment approach based on Active Appearance Model (AAM) by inserting an illumin...

This paper presents an affine invariant shape descriptor which could be applied to both binary and gray-level images. The proposed algorithm uses gradient based features which are extracted along the object boundaries. We use two-dimensional steerable G-Filters [1] to obtain gradient information at different orientations. We aggregate the gradients...

The aim of this study is to automatically generate facial composites in order to match a target face, by using the active appearance model (AAM). The AAM generates a statistical model of the human face from a training set. The model parameters control both the shape and the texture of the face. We propose a system in which a human user interactivel...

Fundamental difficulty in face recognition systems is mainly related to successful human face alignment from the input image. In recent years, model based approaches get attention among others. Most powerful method among model-based approaches is known as active appearance model. The method accomplishes this by constructing a relation between shape...

In this study, we present an approach for illumination invariant face recognition based on active appearance model (AAM) and the Gabor transform. Salient face components (i.e., eyes, nose, and chin) are extracted automatically by using AAM. We have showed that edges originating from object boundaries are far less susceptible to light source changes...

Not Available

This paper presents a novel algorithm for license plate detection and license plate character segmentation problems by using the Gabor transform in detection and local vector quantization in segmentation. As of our knowledge this is the first application of Gabor filters to license plate segmentation problem. Even though much of the research effort...

This study extends the adaptive scheme for the representation of images in λτ-space [1] to color images. The space, called λτ-space, is comprised of two dimensions: the scale dimension and the continuity dimension, controlling the smoothness and the continuity of the surface, respectively. The representation is obtained simply by filtering the imag...

Detecting edges in images is one of the most challenging issues in computer vision and image processing due to lack of a robust detector. Gokmen and Jain (1997) have obtained an edge detector called the generalized edge detector (GED), capable of producing most of the existing edge detectors. The original problem was formulated on a two-dimensional...

In this study, we propose an adaptive scheme for the representation of images and edges in λτ-space [1] introduced by Gökmen and Jain. The space, called λτ-space, is comprised of two dimensions: the scale dimension and the continuity dimension, controlling the smoothness and the continuity of the surface, respectively. The representation is obtaine...

We present an efficient contour based image coding scheme based on Centipede Model. Unlike previous contour based models which presents discontinuities with various scales as a step edge of constant scale, the centipede model allows us to utilize the actual scales of discontinuities as well as location and contrast across them. The use of the actua...

zetçe Bu çalışmada ilgin değişmez şekil betimleyicisi geliştirilmiştir. Bu betimleyiciler daha önceki çalışmaların aksine hem ikili hem de gri-seviyeli imgelere uygulanabilir niteliktedir. Önerilen yöntem nesne sınırı boyunca hesaplanan gradyan bilgisini kullanmaktadır. Gradyan hesabı için farklı doğrultularda ve ölçeklerde yönlendirilmiş iki boyut...

Performance of an image or video database is directly related to indexing performance. Proposed indexing methods usually rely on low-level features such as color, texture and shape information extracted from an image or a key-frame selected within a shot, which are very sensitive to small changes in intensity or lightning conditions. In this study,...