Plenoptic Imaging and Processing

· Springer Nature
eBook
389
페이지
검증되지 않은 평점과 리뷰입니다.  자세히 알아보기

eBook 정보

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.

저자 정보

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.

이 eBook 평가

의견을 알려주세요.

읽기 정보

스마트폰 및 태블릿
AndroidiPad/iPhoneGoogle Play 북 앱을 설치하세요. 계정과 자동으로 동기화되어 어디서나 온라인 또는 오프라인으로 책을 읽을 수 있습니다.
노트북 및 컴퓨터
컴퓨터의 웹브라우저를 사용하여 Google Play에서 구매한 오디오북을 들을 수 있습니다.
eReader 및 기타 기기
Kobo eReader 등의 eBook 리더기에서 읽으려면 파일을 다운로드하여 기기로 전송해야 합니다. 지원되는 eBook 리더기로 파일을 전송하려면 고객센터에서 자세한 안내를 따르세요.