Custom cover image
Custom cover image

Plenoptic Imaging and Processing / by Lu Fang

By: Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: Advances in Computer Vision and Pattern RecognitionPublisher: Singapore : Springer Nature Singapore, 2025Publisher: Singapore : Imprint: Springer, 2025Edition: 1st ed. 2025Description: 1 Online-Ressource(XIII, 389 p. 237 illus., 232 illus. in color.)ISBN:
  • 9789819769155
Subject(s): Additional physical formats: 9789819769148 | 9789819769162 | 9789819769179 | Erscheint auch als: 9789819769148 Druck-Ausgabe | Erscheint auch als: 9789819769162 Druck-Ausgabe | Erscheint auch als: 9789819769179 Druck-AusgabeDDC classification:
  • 006.37 23
DOI: DOI: 10.1007/978-981-97-6915-5Online resources: Summary: 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.Summary: 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.PPN: PPN: 1906404801Package identifier: Produktsigel: ZDB-2-SEB | ZDB-2-SCS | ZDB-2-SXCS | ZDB-2-SOB
No physical items for this record

Open Access

KIT – The Research University in the Helmholtz Association                         Home | Impressum | Datenschutz | Barrierefreiheit | KIT