Download Time-of-Flight and Structured Light Depth Cameras: Technology and Applications
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Time-of-Flight and Structured Light Depth Cameras: Technology and Applications
Download Time-of-Flight and Structured Light Depth Cameras: Technology and Applications
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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.Hardcover=355 pages. Publisher=Springer; 1st ed. 2016 edition (May 25, 2016). Language=English. ISBN-10=3319309714. ISBN-13=978-3319309712. Product Dimensions=6.3 x 1 x 9.2 inches. Shipping Weight=2.8 pounds (View shipping rates and policies). Average Customer Review=Be the first to review this item. Amazon Best Sellers RankVoice Recognition3D GraphicsComputer Vision & Pattern Recognition=#774,090 in Books (See Top 100 in Books) .zg_hrsr { margin: 0; padding: 0; list-style-type: none; } .zg_hrsr_item { margin: 0 0 0 10px; } .zg_hrsr_rank { display: inline-block; width: 80px; text-align: right; } #28 in Books > Computers & Technology > Software > #125 in Books > Computers & Technology > Graphics & Design > #151 in Books > Computers & Technology > Computer Science > AI & Machine Learning >.
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