Active sensor planning for multiview vision tasks
Vision sensors have limited fields of views and can only "see" a portion of a scene from a single viewpoint. To make the entire object visible, the sensor has to be moved from one place to another around the object to observe all features of interest, which brings a multiview vision task t...
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| フォーマット: | Livre numérique |
| 言語: | Anglais |
| 出版事項: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| オンライン･アクセス: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
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| Edition sous un autre format: | • Active sensor planning for multiview vision tasks, Shengyong Chen, [et al.], Berlin, Springer, 2008, 1 vol. (XI-265 p.), 978-3-540-77071-8 |
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| 245 | 0 | 0 | |a Active sensor planning for multiview vision tasks |c edited by Shengyong Chen, Y. F. Li, Jianwei Zhang, Wanliang Wang. |
| 260 | |a Berlin, Heidelberg : |b Springer Berlin Heidelberg. | ||
| 260 | |a Cham : |b Springer Nature, |c [20..]. | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 505 | 1 | |a Active Vision Sensors Active Sensor Planning the State-of-the-Art Sensing Constraints and Evaluation Model-Based Sensor Planning Planning for Freeform Surface Measurement Sensor Planning for Object Modeling Information Entropy Based Planning Model Prediction and Sensor Planning Integrating Planning with Active Illumination | |
| 506 | |a Accès en ligne pour les établissements français bénéficiaires des licences nationales | ||
| 506 | |a Accès soumis à abonnement pour tout autre établissement | ||
| 506 | |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 | ||
| 520 | |a Vision sensors have limited fields of views and can only "see" a portion of a scene from a single viewpoint. To make the entire object visible, the sensor has to be moved from one place to another around the object to observe all features of interest, which brings a multiview vision task that has to be solved by means of active perception. The sensor planning presented in this book describes some effective strategies to generate a sequence of viewing poses and sensor settings for optimally completing a perception task. Several methods are proposed to solve the problems in both model-based and nonmodel-based vision tasks. For model-based applications, the method involves determination of the optimal sensor placements and a shortest path through these viewpoints for automatic generation of a perception plan. For nonmodel-based applications, the method involves determination of the best next view and sensor settings, to incrementally acquire the object information and to find geometrical cues to predict the unknown portion of an object or environment. The ten chapters in Active Vision Planning draw on recent work in robot vision over ten years, particularly in the use of new concepts of active sensing, reconfiguration, recalibration, sensor modeling, sensing constraints, sensing evaluation, viewpoint decision, sensor placement graph, model based planning, path planning, planning for robot in unknown environment, dynamic 3D construction, surface prediction, etc. Implementation examples are also provided with theoretical methods for testing in a real robot system. With these optimal sensor planning strategies, this book will give the robot vision system the adaptability needed in many practical applications | ||
| 700 | 1 | |a Chen, Shengyong. |4 pbd | |
| 700 | 1 | |a Li, Youfu. |4 pbd | |
| 700 | 1 | |a Wang, Wanliang. |4 pbd | |
| 700 | 1 | |a Zhang, Jianwei. |4 pbd | |
| 776 | 0 | |0 131824988 |t Active sensor planning for multiview vision tasks |f Shengyong Chen, [et al.] |c Berlin |n Springer |d 2008 |p 1 vol. (XI-265 p.) |z 978-3-540-77071-8 | |
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