國立高雄大學圖資館 |

登入

回首頁

Plenoptic imaging and processing

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Plenoptic imaging and processingby Lu Fang.
作者:	Fang, Lu.
出版者:	Singapore :Springer Nature Singapore :2025.
面頁冊數:	xiii, 389 p. :ill. (chiefly color), digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Image processing.
電子資源:	https://doi.org/10.1007/978-981-97-6915-5
ISBN:	9789819769155$q(electronic bk.)

Plenoptic imaging and processing
Fang, Lu.

Plenoptic imaging and processing[electronic resource] /by Lu Fang. - Singapore :Springer Nature Singapore :2025. - xiii, 389 p. :ill. (chiefly color), digital ;24 cm. - Advances in computer vision and pattern recognition,2191-6594. - Advances in computer vision and pattern recognition..

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.

Open access.

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.

ISBN: 9789819769155$q(electronic bk.)

Standard No.: 10.1007/978-981-97-6915-5doiSubjects--Topical Terms:

182627
Image processing.

LC Class. No.: TA1637

Dewey Class. No.: 621.367

Plenoptic imaging and processing
LDR:02797nmm a2200349 a 4500 001 678440
003 DE-He213
005 20241016125729.0
006 m d
007 cr nn 008maaau
008 251031s2025 si s 0 eng d
020 $a 9789819769155$q(electronic bk.)
020 $a 9789819769148$q(paper)
024 7 $a 10.1007/978-981-97-6915-5 $2 doi
035 $a 978-981-97-6915-5
040 $a GP $c GP
041 0 $a eng
050 4 $a TA1637
072 7 $a UYQV $2 bicssc
072 7 $a COM016000 $2 bisacsh
072 7 $a UYQV $2 thema
082 0 4 $a 621.367 $2 23
090 $a TA1637 $b .F211 2025
100 1 $a Fang, Lu. $3 910707
245 1 0 $a Plenoptic imaging and processing $h [electronic resource] / $c by Lu Fang.
260 $a Singapore : $b Springer Nature Singapore : $b Imprint: Springer, $c 2025.
300 $a xiii, 389 p. : $b ill. (chiefly color), digital ; $c 24 cm.
490 1 $a Advances in computer vision and pattern recognition, $x 2191-6594
505 0 $a 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.
506 $a Open access.
520 $a 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.
650 0 $a Image processing. $3 182627
650 1 4 $a Computer Vision. $3 913138
650 2 4 $a Image Processing. $3 273705
650 2 4 $a Imaging Techniques. $3 921145
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
830 0 $a Advances in computer vision and pattern recognition. $3 559645
856 4 0 $u https://doi.org/10.1007/978-981-97-6915-5
950 $a Computer Science (SpringerNature-11645)