Time-of-flight and structured light ...
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  • Time-of-flight and structured light depth cameras[electronic resource] :technology and applications /
  • 紀錄類型: 書目-語言資料,印刷品 : Monograph/item
    杜威分類號: 006.37
    書名/作者: Time-of-flight and structured light depth cameras : technology and applications // by Pietro Zanuttigh ... [et al.].
    其他作者: Zanuttigh, Pietro.
    出版者: Cham : : Springer International Publishing :, 2016.
    面頁冊數: xii, 355 p. : : ill. (some col.), digital ;; 24 cm.
    Contained By: Springer eBooks
    標題: Computer vision.
    標題: Three-dimensional imaging.
    標題: Computer graphics.
    標題: Computer Science.
    標題: Image Processing and Computer Vision.
    標題: Signal, Image and Speech Processing.
    標題: Pattern Recognition.
    ISBN: 9783319309736
    ISBN: 9783319309712
    內容註: Introduction -- Operating principles of structured light depth cameras -- Operating principles of Time-of-Flight depth cameras -- Calibration -- Data fusion from depth and standard cameras -- Scene segmentation assisted by data depth -- 3D scene reconstruction from depth camera data -- Human pose estimation and tracking -- Gesture recognition -- Conclusions.
    摘要、提要註: This book provides a comprehensive overview of the key technologies and applications related to new cameras that have brought 3D data acquisition to the mass market. It covers both the theoretical principles behind the acquisition devices and the practical implementation aspects of the computer vision algorithms needed for the various applications. Real data examples are used in order to show the performances of the various algorithms. The performance and limitations of the depth camera technology are explored, along with an extensive review of the most effective methods for addressing challenges in common applications. Applications covered in specific detail include scene segmentation, 3D scene reconstruction, human pose estimation and tracking and gesture recognition. This book offers students, practitioners and researchers the tools necessary to explore the potential uses of depth data in light of the expanding number of devices available for sale. It explores the impact of these devices on the rapidly growing field of depth-based computer vision.
    電子資源: http://dx.doi.org/10.1007/978-3-319-30973-6
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