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Real-time Camera Tracking for Augmented Reality Applications - Efficient Line and Patch Feature Characertization and Management - Wuest, Harald
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Wuest, Harald:
Real-time Camera Tracking for Augmented Reality Applications - Efficient Line and Patch Feature Characertization and Management - Livres de poche

2009, ISBN: 9783639107395

[ED: Taschenbuch / Paperback], [PU: VDM Verlag Dr. Müller], One of the key problems of augmented reality is the tracking of the camera position and viewing direction in real-time. Current vision-based systems mostly rely on the detection and tracking of fiducial markers. Some markerless approaches exist, which are based on 3D line models or calibrated reference images. These methods require a high manual preprocessing work step, which is not applicable for the efficient development and design of industrial AR applications. The problem of the preprocessing overload is addressed by the development of vision-based trackingalgorithms, which require a minimal workload of the preparation of reference data. A novel method for the automatic view-dependent generation of line models in real-time is presented. The tracking system only needs a polygonal model of a reference object, which is often available from the industrial construction process. Point-based methods which rely on optical flow-based template tracking are developed for the camera pose estimation in partially known scenarios. The robustness and real-time capability is improved with a statistical approach for a feature management system which is based on machine learning techniques., DE, [SC: 0.00], Neuware, gewerbliches Angebot, 144, [GW: 208g], Selbstabholung und Barzahlung, PayPal, offene Rechnung, Banküberweisung, Internationaler Versand

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Real-time Camera Tracking for Augmented Reality Applications - Efficient Line and Patch Feature Characertization and Management - Wuest, Harald
Livre non disponible
(*)
Wuest, Harald:
Real-time Camera Tracking for Augmented Reality Applications - Efficient Line and Patch Feature Characertization and Management - Livres de poche

2009, ISBN: 9783639107395

[ED: Taschenbuch / Paperback], [PU: VDM Verlag Dr. Müller], One of the key problems of augmented reality is the tracking of the camera position and viewing direction in real-time. Current vision-based systems mostly rely on the detection and tracking of fiducial markers. Some markerless approaches exist, which are based on 3D line models or calibrated reference images. These methods require a high manual preprocessing work step, which is not applicable for the efficient development and design of industrial AR applications. The problem of the preprocessing overload is addressed by the development of vision-based trackingalgorithms, which require a minimal workload of the preparation of reference data. A novel method for the automatic view-dependent generation of line models in real-time is presented. The tracking system only needs a polygonal model of a reference object, which is often available from the industrial construction process. Point-based methods which rely on optical flow-based template tracking are developed for the camera pose estimation in partially known scenarios. The robustness and real-time capability is improved with a statistical approach for a feature management system which is based on machine learning techniques., DE, [SC: 0.00], Neuware, gewerbliches Angebot, 144, [GW: 208g], Selbstabholung und Barzahlung, PayPal, offene Rechnung, Banküberweisung, International shipping

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Real-time Camera Tracking for Augmented Reality Applications
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Real-time Camera Tracking for Augmented Reality Applications - nouveau livre

ISBN: 9783639107395

ID: 9ce517a1676824f65b50ebecb25af95a

One of the key problems of augmented reality is thetracking of the camera position and viewing directionin real-time. Current vision-based systems mostlyrely on the detection and tracking of fiducialmarkers. Some markerless approaches exist, which arebased on 3D line models or calibrated referenceimages. These methods require a high manualpreprocessing work step, which is not applicable forthe efficient development and design of industrial ARapplications.The problem of the preprocessing overload isaddressed by the development of vision-based trackingalgorithms, which require a minimal workload of thepreparation of reference data.A novel method for the automatic view-dependentgeneration of line models in real-time is presented.The tracking system only needs a polygonal model of areference object, which is often available from theindustrial construction process.Point-based methods which rely on optical flow-basedtemplate tracking are developed for the camera poseestimation in partially known scenarios. Therobustness and real-time capability is improved witha statistical approach for a feature managementsystem which is based on machine learning techniques. Bücher / Naturwissenschaften, Medizin, Informatik & Technik / Informatik & EDV, [PU: VDM Verlag Dr. Müller, Saarbrücken]

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Real-time Camera Tracking for Augmented RealityApplications
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Real-time Camera Tracking for Augmented RealityApplications - nouveau livre

ISBN: 363910739X

ID: 3-14302221

One of the key problems of augmented reality is thetracking of the camera position and viewing directionin real-time. Current vision-based systems mostlyrely on the detection and tracking of fiducialmarkers. Some markerless approaches exist, which arebased on 3D line models or calibrated referenceimages. These methods require a high manualpreprocessing work step, which is not applicable forthe efficient development and design of industrial ARapplications.The problem of the preprocessing overload isaddressed by the development of vision-based trackingalgorithms, which require a minimal workload of thepreparation of reference data.A novel method for the automatic view-dependentgeneration of line models in real-time is presented.The tracking system only needs a polygonal model of areference object, which is often available from theindustrial construction process.Point-based methods which rely on optical flow-basedtemplate tracking are developed for the camera poseestimation in partially known scenarios. Therobustness and real-time capability is improved witha statistical approach for a feature managementsystem which is based on machine learning techniques. Livre - Livre, [PU: VDM Verlag Dr. Müller, Saarbrücken]

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Real-time Camera Tracking for Augmented Reality Applications: Efficient Line and Patch Feature Characertization and Management - Harald Wuest
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Harald Wuest:
Real-time Camera Tracking for Augmented Reality Applications: Efficient Line and Patch Feature Characertization and Management - Livres de poche

ISBN: 363910739X

[SR: 3748072], Taschenbuch, [EAN: 9783639107395], VDM Verlag Dr. Müller, VDM Verlag Dr. Müller, Book, [PU: VDM Verlag Dr. Müller], VDM Verlag Dr. Müller, 62991011, Computer & Internet, 63910011, Apple, 63716011, Betriebssysteme, 63260011, Certification Central, 63595011, Datenbanken, 377645011, Digitale Fotografie & Video, 63904011, Digitale Musik, 1316655031, Dokumentenmanagement, 63647011, Grafikdesign, 63681011, Hardware, 63851011, Home Computing, 63336011, Informatik, 63462011, Microsoft, 377660011, Mobile & Wireless EDV, 63116011, Netzwerke, 63381011, Programmieren, 377670011, Projektmanagement, 377663011, Sicherheit & Verschlüsselung, 63160011, Software, 63549011, Spiel- & Strategieführer, 62992011, Webentwicklung, 63532011, Wirtschaft & Kultur, 54071011, Genres, 52044011, Fremdsprachige Bücher

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Détails sur le livre
Real-time Camera Tracking for Augmented Reality Applications: Efficient Line and Patch Feature Characertization and Management

One of the key problems of augmented reality is the tracking of the camera position and viewing direction in real-time. Current vision-based systems mostly rely on the detection and tracking of fiducial markers. Some markerless approaches exist, which are based on 3D line models or calibrated reference images. These methods require a high manual preprocessing work step, which is not applicable for the efficient development and design of industrial AR applications. The problem of the preprocessing overload is addressed by the development of vision-based tracking algorithms, which require a minimal workload of the preparation of reference data. A novel method for the automatic view-dependent generation of line models in real-time is presented. The tracking system only needs a polygonal model of a reference object, which is often available from the industrial construction process. Point-based methods which rely on optical flow-based template tracking are developed for the camera pose estimation in partially known scenarios. The robustness and real-time capability is improved with a statistical approach for a feature management system which is based on machine learning techniques.

Informations détaillées sur le livre - Real-time Camera Tracking for Augmented Reality Applications: Efficient Line and Patch Feature Characertization and Management


EAN (ISBN-13): 9783639107395
ISBN (ISBN-10): 363910739X
Version reliée
Livre de poche
Date de parution: 2009
Editeur: VDM Verlag
144 Pages
Poids: 0,231 kg
Langue: eng/Englisch

Livre dans la base de données depuis 19.05.2007 10:08:18
Livre trouvé récemment le 12.07.2018 16:09:02
ISBN/EAN: 9783639107395

ISBN - Autres types d'écriture:
3-639-10739-X, 978-3-639-10739-5


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