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Toplam kayıt 19, listelenen: 1-10
Counting Turkish Coins with a Calibrated Camera
(Springer International Publishing Ag, 2015)
We present a computer vision application that detects all coins in a test image, classifies each detected coin and computes the total amount. Coins to be counted are assumed to be lying on a flat surface. The application ...
Sequential Forward Feature Selection for Facial Expression Recognition
(IEEE, 2016)
Facial expression recognition is an important computer vision problem with various applications. In this study, we investigate the effectiveness of features derived from facial landmarks in facial expression recognition. ...
Greedy Search for Descriptive Spatial Face Features
(IEEE, 2017)
Facial expression recognition methods use a combination of geometric and appearance-based features. Spatial features are derived from displacements of facial landmarks, and carry geometric information. These features are ...
HEp-2 Cell Classification using a Deep Neural Network Trained for Natural Image Classification
(IEEE, 2016)
Deep convolutional neural networks is a recently developed method that yields very successful results in image classification. Deep neural networks, which have a high number of parameters, require a large amount of data ...
Sequential forward feature selection for facial expression recognition [Yüz Ifadesi Tanima Için Ardisik Ileri Öznitelik Seçimi]
(Institute of Electrical and Electronics Engineers Inc., 2016)
Facial expression recognition is an important computer vision problem with various applications. In this study, we investigate the effectiveness of features derived from facial landmarks in facial expression recognition. ...
Lens Distortion Rectification Using Triangulation Based Interpolation
(Springer Int Publishing Ag, 2015)
Nonlinear lens distortion rectification is a common first step in image processing applications where the assumption of a linear camera model is essential. For rectifying the lens distortion, forward distortion model needs ...
HEp-2 cell classification using a deep neural network trained for natural image classification [Dogal Imge Siniflandirmak için Egitilmis bir Derin Sinir Agi ile HEp-2 Hücresi Siniflandirilmasi]
(Institute of Electrical and Electronics Engineers Inc., 2016)
Deep convolutional neural networks is a recently developed method that yields very successful results in image classification. Deep neural networks, which have a high number of parameters, require a large amount of data ...
Visualization of power lines recognized in aerial images using deep learning [Havadan alinan görüntülerde derin ögrenme ile taninan güç hatlarinin görsell?stirilmesi]
(Institute of Electrical and Electronics Engineers Inc., 2018)
Aerial power lines used to conduct electrical energy pose a significant risk of accidents for aerial vehicles. In this study, we propose a method to highlight the power lines in an aerial image. The visual feedback provided ...
Video-based Lane Detection Using a Fast Vanishing Point Estimation Method
(IEEE, 2012)
Lane detection algorithms constitute a basis for intelligent vehicle systems such as lane tracking and involuntary lane departure detection. In this paper, we propose a simple and video-based lane detection algorithm that ...
Combining Feature-based and Model-based Approaches For Robust Ellipse Detection
(IEEE, 2016)
Fast and robust ellipse detection is a vital step in many image processing and computer vision applications. Two main approaches exist for ellipse detection, i.e., model-based and feature-based. Model-based methods require ...