This open access book delves into the fundamental principles and cutting-edge techniques of plenoptic imaging and processing. Derived from the Latin words "plenus" (meaning "full") and "optic," plenoptic imaging offers a transformative approach to optical imaging. Unlike conventional systems that rely solely on the pinhole camera model to capture spatial information, plenoptic imaging aims to detect and reconstruct multidimensional and multiscale information from light rays in space. Chapter 1 begins with the introduction of the basic principle of the plenoptic function and the historical development of plenoptic imaging. Next, Chapter 2 describes representative plenoptic sensing systems, including single-sensor devices with lenslet arrays, coded-aperture masks, structured camera arrays, and unstructured camera arrays. Then, Chapter 3 introduces gigapixel plenoptic sensing techniques capable of capturing large-scale dynamic scenes with extremely high resolution. Further, chapter 4 examines typical plenoptic reconstruction methods, including light-field image reconstruction, image-based, and RGBD-based geometry reconstruction. After that, chapter 5 tackles the challenges of large-scale plenoptic reconstruction by introducing sparse-view priors, high-resolution observations, and semantic information. Finally, chapter 6 discusses the frontier issues of plenoptic processing, including the gigapixel-level video dataset PANDA and corresponding visual intelligent algorithms.
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Introduction to Plenoptic Imaging.- Plenoptic Sensing Systems.- High-Resolution Plenoptic Sensing.- Plenoptic Reconstruction.- Toward Large-Scale Plenoptic Reconstruction.- GigaVision: When Computer Vision Meets Gigapixel Videography.
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This open access book delves into the fundamental principles and cutting-edge techniques of plenoptic imaging and processing. Derived from the Latin words "plenus" (meaning "full") and "optic," plenoptic imaging offers a transformative approach to optical imaging. Unlike conventional systems that rely solely on the pinhole camera model to capture spatial information, plenoptic imaging aims to detect and reconstruct multidimensional and multiscale information from light rays in space. Chapter 1 begins with the introduction of the basic principle of the plenoptic function and the historical development of plenoptic imaging. Next, Chapter 2 describes representative plenoptic sensing systems, including single-sensor devices with lenslet arrays, coded-aperture masks, structured camera arrays, and unstructured camera arrays. Then, Chapter 3 introduces gigapixel plenoptic sensing techniques capable of capturing large-scale dynamic scenes with extremely high resolution. Further, chapter 4 examines typical plenoptic reconstruction methods, including light-field image reconstruction, image-based, and RGBD-based geometry reconstruction. After that, chapter 5 tackles the challenges of large-scale plenoptic reconstruction by introducing sparse-view priors, high-resolution observations, and semantic information. Finally, chapter 6 discusses the frontier issues of plenoptic processing, including the gigapixel-level video dataset PANDA and corresponding visual intelligent algorithms.
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Offers an overview of plenoptic imaging, encompassing fundamental principles and historical development Explores cutting-edge methodologies for capturing large-scale dynamic scenes with exceptional resolution Showcases the potential applications of plenoptic imaging in computer vision and artificial intelligence This book is open access, which means that you have free and unlimited access
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GPSR Compliance The European Union's (EU) General Product Safety Regulation (GPSR) is a set of rules that requires consumer products to be safe and our obligations to ensure this. If you have any concerns about our products you can contact us on ProductSafety@springernature.com. In case Publisher is established outside the EU, the EU authorized representative is: Springer Nature Customer Service Center GmbH Europaplatz 3 69115 Heidelberg, Germany ProductSafety@springernature.com
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Open Access This book is licensed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made. The images or other third party material in this book are included in the book's Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the book's Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.
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Produktdetaljer

ISBN
9789819769148
Publisert
2024-10-16
Utgiver
Vendor
Springer Nature
Høyde
235 mm
Bredde
155 mm
Aldersnivå
Research, P, 06
Språk
Product language
Engelsk
Format
Product format
Innbundet

Forfatter

Om bidragsyterne

Lu FANG is currently a full professor at the Dept. of Electronic Engineering, Tsinghua University. She received Ph.D from Hong Kong Univ. of Science and Technology in 2011, and B.E. from Univ. of Science and Technology of China in 2007. Dr. Fang performs multidisciplinary researches in the fields of Computational Imaging and Neuromorphic Computing. To transcend the boundaries of visual computing technology, she focused on hardware-software co-designed imaging and opto-electronic co-optimized computing. She published more than 100 peer-reviewed journal and conference papers, including Science, Nature, Nature Photonics, Nature Machine Intelligence, Nature Methods, IEEE TPMAI etc., and holds 76 international/national patents. Dr. Fang supervised 16 PhD and 21 MPhil students in total. She received NSFC Distinguished Young Scholar Award, DAMO Academy Young Fellow Award, MIT TR35 innovators (China) Award, Multimedia Rising Star Award in ICME 2019, Best Student Paper Award in ICME 2017 etc. She serves as the General Chair of IEEE MMSP 2025, Student Activities Co-Chair of IEEE ICIP 2026, Demo Co-chair of IEEE ICME 2023, Grand Challenge Co-chair of ACM MM 2021 and the leading organizer of GigaVision Challenges/Workshops in CVPR, ECCV, ICCV etc. Dr. Fang is IEEE Senior Member, TC member of MMSP-TC, and serves as Associate Editor for IEEE TIP and OSA Optica.