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  • 标题:On Optimal Multi-Sensor Network Configuration for 3D Registration
  • 本地全文:下载
  • 作者:Hadi Aliakbarpour ; V. B. Surya Prasath
  • 期刊名称:Journal of Sensor and Actuator Networks
  • 电子版ISSN:2224-2708
  • 出版年度:2015
  • 卷号:4
  • 期号:4
  • 页码:293-314
  • DOI:10.3390/jsan4040293
  • 语种:English
  • 出版社:MDPI Publishing
  • 摘要:Multi-sensor networks provide complementary information for various taskslike object detection, movement analysis and tracking. One of the important ingredientsfor efficient multi-sensor network actualization is the optimal configuration of sensors.In this work, we consider the problem of optimal configuration of a network of coupledcamera-inertial sensors for 3D data registration and reconstruction to determine humanmovement analysis. For this purpose, we utilize a genetic algorithm (GA) based optimizationwhich involves geometric visibility constraints. Our approach obtains optimal configurationmaximizing visibility in smart sensor networks, and we provide a systematic study usingedge visibility criteria, a GA for optimal placement, and extension from 2D to 3D.Experimental results on both simulated data and real camera-inertial fused data indicate weobtain promising results. The method is scalable and can also be applied to other smartnetwork of sensors. We provide an application in distributed coupled video-inertial sensorbased 3D reconstruction for human movement analysis in real time.
  • 关键词:optimal configuration; sensor network; genetic algorithm; 3D; reconstruction;registration; human movements optimal configuration ; sensor network ; genetic algorithm ; 3D ; reconstruction ; registration ; human movements
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