Bilgisayar Mühendisliği Bölümü Yayın Koleksiyonu
Permanent URI for this collectionhttps://hdl.handle.net/20.500.12416/253
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Article Citation - WoS: 6Citation - Scopus: 7Illicit Material Detection Using Dual-Energy X-Ray Images(Zarka Private Univ, 2016) Hassanpour, Reza; Hassanpour, Reza; Yazılım MühendisliğiDual energy X-ray inspection systems are widely used in security and controlling systems. The performance of these systems however, degrades with the poor performance of human operators. Computer vision based systems are of vital importance in improving the detection rate of illicit materials, while keeping false alarms at a reasonably low level. In this study, a novel method is proposed for detecting material overlapping and reconstructing multiple images by alleviating these overlaps. Evaluation tests were conducted on images taken from luggage inspection X-ray screening devices used in shopping centres. The experimental results indicate that the reconstructed images are much easier to inspect by human operators than the unprocessed original images.Conference Object An Rsvp Model for Opnet Simulator With an Integrated Qos Architecture(Caltek s.r.l., 2009) Özyer, S.T.; Hassanpour, Reza; Hassanpour, R.; Özyer, Sibel; Yazılım Mühendisliği; Bilgisayar MühendisliğiResource Reservation Protocol (RSVP) allows Internet real-time applications to request a specific end-to-end Quality of service (QoS) for data stream before they start transmitting data. In this paper firstly an overview of RSVP is presented. After that the different quality of services available and the relation between QoS and RSVP have been explained. The fundamentals of RSVP as a protocol is discussed. The performance issues and benchmarking for planned portion architecture at the department of Computer Engineering, Çankaya University has been given next. The experimental results and discussions conclude this paper. In this paper, OPNET network simulation tool has been used. Under given architecture and protocol, performance of quality of service implications has been carried out.Article Human Face Identification Using M-Pca Augmented With Gabor Wavelet(2005) Karaömeroǧlu, B.; Hassanpour, Reza; Hassanpour, R.; Yazılım MühendisliğiIn this paper, a specialized version of PCA augmented with Gabor Wavelet Transform is proposed for face identification. Firstly, to cope with the variations due to illumination and facial expression changes 2D Gabor Wavelet Transform is applied; then for reducing a large set of correlated variables to a small number of uncorrelated components the PCA approach is used with some modifications. Based on the effect of the illumination, facial expression and occluding objects such as eye glasses and facial hair, performance of the proposed algorithm is compared with the other algorithms.Conference Object Real Time Hand-Face Tracking Using Skin Color and Motion(int inst informatics & Systemics, 2005) Hassanpour, Reza; Hassanpour, Reza; Birdal, Ahmet; Yazılım MühendisliğiHuman hand gestures and face expressions are a major tool for communicating ideas between people. Hand gestures may also account for the main part of the communication when other tools are not preferred or simply not available. First step for an automatic interpretation of these gestures and expressions is their segmentation and tracking. We have developed an algorithm to track hand motions in real time. Our algorithm is based on the motion and color features of the interested areas. A modified form of Adaptive Mean Shift method is used for tracking hands and face. A rule based system monitors the correctness of the segmentation and tracking.Conference Object Camera Auto-Calibration Using a Sequence of 2d Images With Small Rotations and Translations(Crc Press-taylor & Francis Group, 2003) Hassanpour, Reza; Hassanpour, R; Atalay, V; Yazılım Mühendisliği3D model generation needs depth information of the object in the input images. This information can be found using stereo imaging but it needs camera parameters. Camera calibration is not possible without some knowledge about the objects in the scene or assuming fixed or known values for the camera parameters. When using fixed camera parameters, however, small rotation angles or small translation in camera position can degenerate the results. The degeneracy can be omitted by adding new restrictions to the a-priori knowledge about the camera parameters. The calibrated data may be used to reconstruct 3D model of the scene.Conference Object Head Modeling With Camera Auto-Calibration and Deformation(Akademische verlagsgesellsch Aka Gmbh, 2002) Hassanpour, R; Hassanpour, Reza; Atalay, V; Yazılım MühendisliğiA 3D head modeling method from a sequence of 2D images is described. The views from which the input images are acquired are not calibrated., Therefore, an auto-calibration method for a sequence of images with small rotations and translation is developed. For this purpose, we have modified an already existing auto-calibration algorithm to incorporate known aspect ratio and skew values to make it applicable for small rotation around a single axis. We apply this auto-calibration technique to head (face) modeling. Three dimensional positions of known facial features computed from two dimensional images are used to. deform a generic head model by using a spring based energy minimization method.Conference Object Citation - WoS: 2Citation - Scopus: 6Region Based Hand Gesture Recognition(Union Agency Science Press, 2008) Birdal, Ahmet; Hassanpour, Reza; Hassanpour, Reza; Yazılım MühendisliğiEvolution of user interfaces shapes the change in the human-computer interaction. With rapid emerge of three-dimensional (3-D) applications, the need for a new type of interaction device arises since traditional devices such as mouse, keyboard, and joystick become inefficient for interaction within these virtual environments. A better interaction in virtual environments requires a natural and suitable device. "Hand Gesture" concept in human computer interaction which has become popular in recent years can be used to develop such an interaction device. This study reports the development of a real-time, low cost, vision based hand gesture recognition system that works precisely on a relatively small restricted gesture space for single user robot control and human-computer interaction in such an environment that the lighting is relatively stable and the background is not complex.Article A 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%).Conference Object Citation - Scopus: 19Vision-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.Article Low-diameter topic-based pub/sub overlay Network Construction with minimum–maximum node Degree(PeerJ Inc., 2021) Yumusak, Semih; Layazali, Sina; Öztoprak, Kasım; Hassanpour, RezaIn the construction of effective and scalable overlay networks, publish/subscribe (pub/sub) network designers prefer to keep the diameter and maximum node degree of the network low. However, existing algorithms are not capable of simultaneously decreasing the maximum node degree and the network diameter. To address this issue in an overlay network with various topics, we present herein a heuristic algorithm, called the constant-diameter minimum–maximum degree (CD-MAX), which decreases the maximum node degree and maintains the diameter of the overlay network at two as the highest. The proposed algorithm based on the greedy merge algorithm selects the node with the minimum number of neighbors. The output of the CD-MAX algorithm is enhanced by applying a refinement stage through the CD-MAX-Ref algorithm, which further improves the maximum node degrees. The numerical results of the algorithm simulation indicate that the CD-MAX and CD-MAX-Ref algorithms improve the maximum node-degree by up to 64% and run up to four times faster than similar algorithms.