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Wyszukujesz frazę "feature matching" wg kryterium: Temat


Wyświetlanie 1-8 z 8
Tytuł:
Vein Biometric Recognition Methods and Systems: A Review
Autorzy:
Al-Khafaji, Ruaa S.S.
Al-Tamimi, Mohammed S.H.
Powiązania:
https://bibliotekanauki.pl/articles/2022496.pdf
Data publikacji:
2022
Wydawca:
Stowarzyszenie Inżynierów i Techników Mechaników Polskich
Tematy:
biometric technology
finger vein recognition
pre-processing
feature extraction
matching
Opis:
The Finger-vein recognition (FVR) method has received increasing attention in recent years. It is a new method of personal identification and biometric technology that identifies individuals using unique finger-vein patterns, which is the first reliable and suitable area to be recognized. It was discovered for the first time with a home imaging system; it is characterized by high accuracy and high processing speed. Also, the presence of patterns of veins inside one’s body makes it almost difficult to repeat and difficult to steal. Based on the increased focus on protecting privacy, that also produces vein biometrics safer alternatives without forgery, damage, or alteration over time. Fingerprint recognition is beneficial because it includes the use of low-cost, small devices which are difficult to counterfeit. This paper discusses preceding finger-vein recognition approaches systems with the methodologies taken from other researchers’ work about image acquisition, pretreatment, vein extraction, and matching. It is reviewing the latest algorithms; continues to critically review the strengths and weaknesses of these methods, and it states the modern results following a key comparative analysis of methods.
Źródło:
Advances in Science and Technology. Research Journal; 2022, 16, 1; 36-46
2299-8624
Pojawia się w:
Advances in Science and Technology. Research Journal
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Simultaneous localization and mapping: A feature-based probabilistic approach
Autorzy:
Skrzypczyński, P.
Powiązania:
https://bibliotekanauki.pl/articles/929972.pdf
Data publikacji:
2009
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
robot mobilny
lokalizacja równoczesna
dopasowanie właściwości
mobile robot
simultaneous localization and mapping
feature matching
Opis:
This article provides an introduction to Simultaneous Localization And Mapping (SLAM), with the focus on probabilistic SLAM utilizing a feature-based description of the environment. A probabilistic formulation of the SLAM problem is introduced, and a solution based on the Extended Kalman Filter (EKF-SLAM) is shown. Important issues of convergence, consistency, observability, data association and scaling in EKF-SLAM are discussed from both theoretical and practical points of view. Major extensions to the basic EKF-SLAM method and some recent advances in SLAM are also presented.
Źródło:
International Journal of Applied Mathematics and Computer Science; 2009, 19, 4; 575-588
1641-876X
2083-8492
Pojawia się w:
International Journal of Applied Mathematics and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Personal identification using retina
Autorzy:
Choraś, R.S.
Powiązania:
https://bibliotekanauki.pl/articles/333033.pdf
Data publikacji:
2009
Wydawca:
Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
Tematy:
siatkówka
biometria siatkówki
wybór cech obrazu
retina
retina biometrics
vessel pattern
feature extraction
Gabor transform
feature vector
matching
Opis:
This paper proposes a biometric system for authentication that uses the retina blood vessel pattern. The retina biometric analyzes the layer of blood vessels located at the back of the eye. The blood vessels at the back of the eye have a unique pattern, from eye to eye and person to person. The retina, a layer of blood vessels located at the back of the eye, forms an identity card for the individual under investigation. In particular retinal recognition creates an ”eye signature” from its vascular configuration and its artificial duplication is thought to be virtually impossible.
Źródło:
Journal of Medical Informatics & Technologies; 2009, 13; 53-58
1642-6037
Pojawia się w:
Journal of Medical Informatics & Technologies
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Mathematical Model of Errors of Odometry and Georeferencing Channels in Visual Correlation Extreme Navigation
Autorzy:
Mukhina, Maryna Petrivna
Kharchenko, Volodymyr Petrovych
Powiązania:
https://bibliotekanauki.pl/articles/503832.pdf
Data publikacji:
2017
Wydawca:
Międzynarodowa Wyższa Szkoła Logistyki i Transportu
Tematy:
correlation extreme navigation
visual odometry
geo-referencing
feature matching
cartographic errors
dead reckoning errors
Opis:
The mathematic model of errors in correlation with the extreme navigation system (CENS) is developed basing on odometry and geo-referencing channels. The realization of the model is done in Simulink, and based on regular and random components of additive noise. The results of simulations prove accumulation of errors for odometry errors and its mitigation in case of geo-referencing in periods of correction.
Źródło:
Logistics and Transport; 2017, 33, 1; 31-36
1734-2015
Pojawia się w:
Logistics and Transport
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Determination of the Optimal Threshold Value and Number of Keypoints in Scale Invariant Feature Transform-based Copy-Move Forgery Detection
Autorzy:
Isnanto, R. Rizal
Zahra, Ajub Ajulian
Santoso, Imam
Lubis, Muhammad Salman
Powiązania:
https://bibliotekanauki.pl/articles/227299.pdf
Data publikacji:
2020
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
forgery
Gaussian noise
feature extraction
pattern matching
Euclidean distance
Opis:
The copy-move forgery detection (CMFD) begins with the preprocessing until the image is ready to process. Then, the image features are extracted using a feature-transform-based extraction called the scale-invariant feature transform (SIFT). The last step is features matching using Generalized 2 Nearest-Neighbor (G2NN) method with threshold values variation. The problem is what is the optimal threshold value and number of keypoints so that copy-move detection has the highest accuracy. The optimal threshold value and number of keypoints had determined so that the detection n has the highest accuracy. The research was carried out on images without noise and with Gaussian noise.
Źródło:
International Journal of Electronics and Telecommunications; 2020, 66, 3; 561-569
2300-1933
Pojawia się w:
International Journal of Electronics and Telecommunications
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Depth-based Descriptor for Matching Keypoints in 3D Scenes
Autorzy:
Matusiak, K.
Skulimowski, P.
Strumillo, P.
Powiązania:
https://bibliotekanauki.pl/articles/226051.pdf
Data publikacji:
2018
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
feature matching
keypoints detection
object recognition
depth map
Opis:
Keypoint detection is a basic step in many computer vision algorithms aimed at recognition of objects, automatic navigation and analysis of biomedical images. Successful implementation of higher level image analysis tasks, however, is conditioned by reliable detection of characteristic image local regions termed keypoints. A large number of keypoint detection algorithms has been proposed and verified. In this paper we discuss the most important keypoint detection algorithms. The main part of this work is devoted to description of a keypoint detection algorithm we propose that incorporates depth information computed from stereovision cameras or other depth sensing devices. It is shown that filtering out keypoints that are context dependent, e.g. located at boundaries of objects can improve the matching performance of the keypoints which is the basis for object recognition tasks. This improvement is shown quantitatively by comparing the proposed algorithm to the widely accepted SIFT keypoint detector algorithm. Our study is motivated by a development of a system aimed at aiding the visually impaired in space perception and object identification.
Źródło:
International Journal of Electronics and Telecommunications; 2018, 64, 3; 299-306
2300-1933
Pojawia się w:
International Journal of Electronics and Telecommunications
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Analysis of operators for detection of corners set in automatic image matching
Autorzy:
Zawieska, D.
Powiązania:
https://bibliotekanauki.pl/articles/129929.pdf
Data publikacji:
2011
Wydawca:
Stowarzyszenie Geodetów Polskich
Tematy:
feature detection
corner detection
3D modelling
image matching
funkcja wykrywania
wykrywanie krawędzi
modelowanie 3D
dopasowanie obrazów
Opis:
Reconstruction of three dimensional models of objects from images has been a long lasting research topic in photogrammetry and computer vision. The demand for 3D models is continuously increasing in such fields as cultural heritage, computer graphics, robotics and many others. The number and types of features of a 3D model are highly dependent on the use of the models, and can be very variable in terms of accuracy and time for their creation. In last years, both computer vision and photogrammetric communities have approached the reconstruction problems by using different methods to solve the same tasks, such as camera calibration, orientation, object reconstruction and modelling. The terminology which is used for addressing the particular task in both disciplines is sometimes diverse. On the other hand, the integration of methods and algorithms coming from them can be used to improve both. The image based modelling of an object has been defined as a complete process that starts with image acquisition and ends with an interactive 3D virtual model. The photogrammetric approach to create 3D models involves the followings steps: image pre-processing, camera calibration, orientation of images network, image scanning for point detection, surface measurement and point triangulation, blunder detection and statistical filtering, mesh generation and texturing, visualization and analysis. Currently there is no single software package available that allows for each of those steps to be executed within the same environment. For high accuracy of 3D objects reconstruction operators are required as a preliminary step in the surface measurement process, to find the features that serve as suitable points when matching across multiple images. Operators are the algorithms which detect the features of interest in an image, such as corners, edges or regions. This paper reports on the first phase of research on the generation of high accuracy 3D model measurement and modelling, focusing upon the application of different operators for accurate feature point extraction. The implementation of those operators is discussed and performance of differen operators is analysed. The optimal operator for high accuracy close range object reconstruction is then highlighted. This research has facilitated a development of the feature extraction and image measurement process that will be central to the development of an automatic procedure for high accuracy point cloud generation in multi image networks where robust orientation and 3D point determination will facilitate surface measurement and modelling within a single software system.
Źródło:
Archiwum Fotogrametrii, Kartografii i Teledetekcji; 2011, 22; 423-436
2083-2214
2391-9477
Pojawia się w:
Archiwum Fotogrametrii, Kartografii i Teledetekcji
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
3D maps integration based on overlapping regions matching
Autorzy:
Drwięga, Michał
Powiązania:
https://bibliotekanauki.pl/articles/2141859.pdf
Data publikacji:
2021
Wydawca:
Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:
multi‐robot mapping
map merging
feature matching
ICP
NDT
octomap
Opis:
This paper presents a developed method of 3D maps integration based on overlapping regions detection and matching that works without an initial guess about transformation between maps. The presented solution is based on a classic pipeline approach from computer vision that has been applied to the 3D maps integration with multiple improvements related to model extraction and the descriptors matching. The process of finding transformation between maps consists of three steps. The first one is the extraction of the model from one of the maps. Then the initial transformation is estimated between extracted model and another map based on feature extraction, description, and matching. The assumption is that the maps have an overlapping area that can be used during the feature‐based alignment. In the last step, the initial so‐ lution is corrected using local alignment approaches, for example, ICP or NDT. The maps are stored in the octree based representation (octomaps) but during transformation estimation, a point cloud representation is used as well. In addition, the presented method was verified in various experiments: in a simulation, with wheeled robots, and with publicly available datasets. Eventually, the solution can be applied to many robotic applications related to the exploration of unknown environments. Nevertheless, so far it was validated with a group of wheeled robots. Furthermore, the developed method has been implemented and released as a part of the open‐source ROS package 3d_map_server.
Źródło:
Journal of Automation Mobile Robotics and Intelligent Systems; 2021, 15, 3; 70-80
1897-8649
2080-2145
Pojawia się w:
Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-8 z 8

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