Hassanpour, Reza
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Doç. Dr.
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Yazılım Mühendisliği
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Scholarly Output
32
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33
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252
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31 results
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Now showing 1 - 10 of 31
Conference Object Citation - WoS: 7Phishing e-mail detection by using deep learning algorithms(Assoc Computing Machinery, 2018) Hassanpour, Reza; Doğdu, Erdoğan; Hassanpour, Reza; Dogdu, Erdogan; Choupani, Roya; Goker, Onur; Nazli, Nazli; 21259; Yazılım Mühendisliği; Bilgisayar MühendisliğiConference Object Citation - Scopus: 18Vision-based hand gesture recognition for human computer interaction: A review(2008) Hassanpour, R.; Hassanpour, Reza; Wong, S.; Shahbahrami, A.; Yazılım MühendisliğiEvolution of user interfaces shapes the change in the human-computer interaction. With the rapid emergence of threedimensional (3-D) applications; the need for a new type of interaction device arises as traditional devices such as mouse, keyboard, and joystick become inefficient and cumbersome within these virtual environments. Intuitive and naturalness characteristics of "Hand Gestures" in human computer interaction have been the driving force and motivation to develop an interaction device which can replace current unwieldy tools. This study is a survey on the methods of analyzing, modeling and recognizing hand gestures in the context of human-computer interaction. Taxonomy of the methods based on the applications that they have been developed for and the approaches that they have used to represent gestures is presented. Direction of future developments is also discussed. © 2008 IADIS.Conference Object Citation - WoS: 0Citation - Scopus: 0Real-time 3D Hand Posture Reconstruction using Stereo Vision(Ieee, 2016) Mogol, Ali Can; Hassanpour, Reza; Hassanpour, Reza; Oztoprak, Kasim; Yazılım MühendisliğiOne of the important goals in Human Computer Interaction (HCI) is designing better and more intuitive interfaces for improving the interactions. There are lots of approaches to address this problem. One of these approaches is utilizing human hand gestures. The degree of freedom and complex structure of human hand however, make capturing and modeling of hand gestures a challenging problem. In this paper, an inexpensive, fast, and effective method is proposed to capture 3D hand postures and gestures. An articulated 3D hand model capable of incorporating anatomical restrictions is designed. Five markers with different colors are utilized to indicate the location of finger tips in the images. The proposed method, starting with the stereo calibration of the cameras, performs capturing and tracking the color markers attached to the finger tips, reconstructing the 3D coordinates of these points, and calculating the finger articulations by applying inverse kinematics to the developed 3D hand model. The hand posture reconstruction is performed in real-time.Article Citation - WoS: 0Citation - Scopus: 0A Two-Stage Matching Method for Multi-Component Shapes(Univ Suceava, Fac Electrical Eng, 2015) Hassanpour, Reza; Hassanpour, Reza; Yazılım MühendisliğiIn this paper a shape matching algorithm for multiple component objects has been proposed which aims at matching shapes by a two-stage method. The first stage extracts the similarity features of each component using a generic shape representation model. The first stage of our shape matching method normalizes the components for orientation and scaling, and neglects minor deformations. In the second stage, the extracted similarity features of the components are combined with their relative spatial characteristics for shape matching. Some important application areas for the proposed multi-component shape matching are medical image registration, content based medical image retrieval systems, and matching articulated objects which rely on the a-priori information of the model being searched. In these applications, salient features such as vertebrae or rib cage bones can be easily segmented and used. These features however, show differences from person to person on one hand and similarities at different cross-sectional images of the same examination on the other hand. The proposed method has been tested on articulated objects, and reliable registration of 3-dimensional abdominal computed tomography images.Conference Object Citation - Scopus: 0Spam mail filtering using Bayesian classifier and heuristics(2006) Eş, Sinan; Eş, S.; Aşkun, A.R.; Hassanpour, Reza; Hassanpour, R.; 56475; Bilgisayar Mühendisliği; Yazılım MühendisliğiCommercials and virus infected files transferred by electronic mails (e-mail) have been a main source of time and resource loss during the past decade and email filtering as a binary text classification problem has attracted the attention of many researchers recently. In this study, we have tried to find a filtering solution which is able to automatically classify emails into spam and legitimate categories. In order to automatically and efficiently classify emails as spam or legitimate we took advantage of some Bayesian stochastic algorithms and machine learning based heuristic methods. Our approach includes some novel ideas from Information Retrieval.Article Citation - WoS: 0Citation - Scopus: 3Experimental study on the sensitivity of autocalibration to projective camera model parameters(Spie-soc Photo-optical instrumentation Engineers, 2006) Hassanpour, Reza; Hassanpour, Reza; Atalay, Volkan; 48646; Yazılım MühendisliğiExisting methods of 3-D object modeling and recovering 3-D data from uncalibrated 2-D images are subject to errors introduced by assumptions about camera parameters and mismatches in finding point pairs in the images. In this study, we experimentally evaluate the effect of each of these assumptions together with the inaccuracy in the measurements in the images. Sensitivity of reconstruction errors to inaccuracies in the estimation of camera parameters and mismatches due to noise in input data is measured using a linear and two nonlinear autocalibration methods for a projective camera. Our experimental results show that some assumptions such as a vanishing skew can be safely made; however, other parameters such as principal point location are quite sensitive to wrong assumptions. (c) 2006 Society of Photo-Optical Instrumentation Engineers.Article Citation - WoS: 8Citation - Scopus: 16Camera Auto-calibration Using a Sequence of 2D Images with Small Rotations(Elsevier, 2004) Hassanpour, R; Hassanpour, Reza; Atalay, V; Yazılım MühendisliğiIn this study, we describe an auto-calibration algorithm with fixed but unknown camera parameters. We have modified Triggs' algorithm to incorporate known aspect ratio and skew values to make it applicable for small rotation around a single axis. The algorithm despite being a quadratic one is easy to solve. We have applied the algorithm to some artificial objects with known size and dimensions for evaluation purposes. In addition, the accuracy of the algorithm has been verified using synthetic data. The described method is particularly suitable for three dimensional human head modeling. (C) 2004 Elsevier B.V. All rights reserved.Conference Object Citation - WoS: 0Citation - Scopus: 0A novel intelligent and fast question answering system for world wide web(int inst informatics & Systemics, 2007) Aşkun, Ali Rıza; Bolat, Saadettin; Demirbulak, Dilara; Askun, Ali Riza; Dernirbulak, Dilara; Hassanpour, Reza; Bolat, Saadettin; 56475; Ortak Dersler Bölümü; İngiliz Dili ve Edebiyatı; Yazılım Mühendisliği; Bilgisayar MühendisliğiThe World Wide Web has expanded to include on-line access to an almost unlimited number of documents. However, this enormous source of information brings with it the problem of searching the documents efficiently and easily. We have developed a Web-based Question Answering System, which primarily focuses on open domain fact-based short answer questions and also some definition questions. The most important characteristics of the system are its capability in understanding questions given in a natural language style and the effective search which avoids transferring a large amount of unnecessary data. Experimental results show the superiority of the proposed method to available similar systems in terms of accuracy.Conference Object Citation - WoS: 1Citation - Scopus: 4Automatic detection of mitochondria from electron microscope tomography images: a curve fitting approach(Spie-int Soc Optical Engineering, 2014) Taşel, Faris Serdar; Tasel, Serdar F.; Hassanpour, Reza; Hassanpour, Reza; Mumcuoglu, Erkan U.; Perkins, Guy; Martone, Maryann; Yazılım Mühendisliği; Bilgisayar MühendisliğiMitochondria are sub-cellular components which are mainly responsible for synthesis of adenosine tri-phosphate (ATP) and involved in the regulation of several cellular activities such as apoptosis. The relation between some common diseases of aging and morphological structure of mitochondria is gaining strength by an increasing number of studies. Electron microscope tomography (EMT) provides high-resolution images of the 3D structure and internal arrangement of mitochondria. Studies that aim to reveal the correlation between mitochondrial structure and its function require the aid of special software tools for manual segmentation of mitochondria from EMT images. Automated detection and segmentation of mitochondria is a challenging problem due to the variety of mitochondrial structures, the presence of noise, artifacts and other sub-cellular structures. Segmentation methods reported in the literature require human interaction to initialize the algorithms. In our previous study, we focused on 2D detection and segmentation of mitochondria using an ellipse detection method. In this study, we propose a new approach for automatic detection of mitochondria from EMT images. First, a preprocessing step was applied in order to reduce the effect of non-mitochondrial sub-cellular structures. Then, a curve fitting approach was presented using a Hessian-based ridge detector to extract membrane-like structures and a curve-growing scheme Finally, an automatic algorithm was employed to detect mitochondria which are represented by a subset of the detected curves. The results show that the proposed method is more robust in detection of mitochondria in consecutive EMT slices as compared with our previous automatic method.Article Citation - WoS: 0A Novel Hypercube-based Approach to Overlay Design Algorithms on Topic Distribution Networks(Gazi Univ, 2022) Yumusak, Semih; Hassanpour, Reza; Layazali, Sina; Oztoprak, Kasim; Hassanpour, Reza; Yazılım MühendisliğiData communication in peer-to-peer (P2P) network requires a fine-grained optimization for memory and processing to lower the total energy consumption. When the concept of Publish/subscribe (Pub/Sub) systems were used as a communication tool in a P2P network, the network required additional optimization algorithms to reduce the complexity. The major difficulty for such networks was creating an overlay design algorithm (ODA) to define the communication patterns. Although some ODAs may perform worse on a high-scale, some may have better average/maximum node degrees. Based on the experimentation and previous works, this study designed an algorithm called the Hypercube-ODA, which reduces the average/maximum node degree for a topic connected Pub/Sub network. The Hypercube-ODA algorithm creates the overlay network by creating random cubes within the network and arranging the nodes with the cubes they belong to. In this paper, the details of the proposed Hypercube algorithm were presented and its performance was compared with the existing ODAs. Results from the experiments indicate that the proposed method outperforms other ODA methods in terms of lower average node degree (lowering the average node degree by up to 60%).
