Computational photography

Advanced topics

Paul Debevec*, Ramesh Raskar, Jack Tumblin

*Corresponding author for this work

Research output: Contribution to conferencePaper

Abstract

Computational photography combines plentiful computing, digital sensors, modern optics, many varieties of actuators, probes and smart lights to escape the limitations of traditional film cameras and enables novel imaging applications. Unbounded dynamic range, variable focus, resolution, and depth of field, hints about shape, reflectance, and lighting, and new interactive forms of photos that are partly snapshots and partly videos, performance capture and interchangeably relighting real and virtual characters are just some of the new applications emerging in Computational Photography. The computational techniques encompass methods from modification of imaging parameters during capture to sophisticated reconstructions from indirect measurements. We will bypass basic and introductory material presented in earlier versions of this course (Computational Photography 2005,6,7) and expand coverage of more recent topics. Emphasizing more recent work in computational photography and related fields (2006 or later) this course will give more attention to advanced topics only briefly touched before, including tomography, heterodyning and Fourier Slice applications, inverse problems, gradient illumination, novel optics, emerging sensors and social impact of computational photography. With this deeper coverage, the course offers a diverse but practical guide to topics in image capture and manipulation methods for generating compelling pictures for computer graphics and for extracting scene properties for computer vision, with several examples.

Original languageEnglish (US)
Number of pages1
DOIs
StatePublished - Dec 1 2008
EventACM SIGGRAPH 2008 Classes - Los Angeles, CA, United States
Duration: Aug 11 2008Aug 15 2008

Other

OtherACM SIGGRAPH 2008 Classes
CountryUnited States
CityLos Angeles, CA
Period8/11/088/15/08

Fingerprint

Photography
Optics
Lighting
Heterodyning
Photographic films
Imaging techniques
Sensors
Optical resolving power
Computer graphics
Inverse problems
Computer vision
Tomography
Actuators

ASJC Scopus subject areas

  • Computer Science Applications
  • Human-Computer Interaction
  • Software

Cite this

Debevec, P., Raskar, R., & Tumblin, J. (2008). Computational photography: Advanced topics. Paper presented at ACM SIGGRAPH 2008 Classes, Los Angeles, CA, United States. https://doi.org/10.1145/1401132.1401162
Debevec, Paul ; Raskar, Ramesh ; Tumblin, Jack. / Computational photography : Advanced topics. Paper presented at ACM SIGGRAPH 2008 Classes, Los Angeles, CA, United States.1 p.
@conference{e4050759127d4f9c85effa2eb445fd19,
title = "Computational photography: Advanced topics",
abstract = "Computational photography combines plentiful computing, digital sensors, modern optics, many varieties of actuators, probes and smart lights to escape the limitations of traditional film cameras and enables novel imaging applications. Unbounded dynamic range, variable focus, resolution, and depth of field, hints about shape, reflectance, and lighting, and new interactive forms of photos that are partly snapshots and partly videos, performance capture and interchangeably relighting real and virtual characters are just some of the new applications emerging in Computational Photography. The computational techniques encompass methods from modification of imaging parameters during capture to sophisticated reconstructions from indirect measurements. We will bypass basic and introductory material presented in earlier versions of this course (Computational Photography 2005,6,7) and expand coverage of more recent topics. Emphasizing more recent work in computational photography and related fields (2006 or later) this course will give more attention to advanced topics only briefly touched before, including tomography, heterodyning and Fourier Slice applications, inverse problems, gradient illumination, novel optics, emerging sensors and social impact of computational photography. With this deeper coverage, the course offers a diverse but practical guide to topics in image capture and manipulation methods for generating compelling pictures for computer graphics and for extracting scene properties for computer vision, with several examples.",
author = "Paul Debevec and Ramesh Raskar and Jack Tumblin",
year = "2008",
month = "12",
day = "1",
doi = "10.1145/1401132.1401162",
language = "English (US)",
note = "ACM SIGGRAPH 2008 Classes ; Conference date: 11-08-2008 Through 15-08-2008",

}

Debevec, P, Raskar, R & Tumblin, J 2008, 'Computational photography: Advanced topics' Paper presented at ACM SIGGRAPH 2008 Classes, Los Angeles, CA, United States, 8/11/08 - 8/15/08, . https://doi.org/10.1145/1401132.1401162

Computational photography : Advanced topics. / Debevec, Paul; Raskar, Ramesh; Tumblin, Jack.

2008. Paper presented at ACM SIGGRAPH 2008 Classes, Los Angeles, CA, United States.

Research output: Contribution to conferencePaper

TY - CONF

T1 - Computational photography

T2 - Advanced topics

AU - Debevec, Paul

AU - Raskar, Ramesh

AU - Tumblin, Jack

PY - 2008/12/1

Y1 - 2008/12/1

N2 - Computational photography combines plentiful computing, digital sensors, modern optics, many varieties of actuators, probes and smart lights to escape the limitations of traditional film cameras and enables novel imaging applications. Unbounded dynamic range, variable focus, resolution, and depth of field, hints about shape, reflectance, and lighting, and new interactive forms of photos that are partly snapshots and partly videos, performance capture and interchangeably relighting real and virtual characters are just some of the new applications emerging in Computational Photography. The computational techniques encompass methods from modification of imaging parameters during capture to sophisticated reconstructions from indirect measurements. We will bypass basic and introductory material presented in earlier versions of this course (Computational Photography 2005,6,7) and expand coverage of more recent topics. Emphasizing more recent work in computational photography and related fields (2006 or later) this course will give more attention to advanced topics only briefly touched before, including tomography, heterodyning and Fourier Slice applications, inverse problems, gradient illumination, novel optics, emerging sensors and social impact of computational photography. With this deeper coverage, the course offers a diverse but practical guide to topics in image capture and manipulation methods for generating compelling pictures for computer graphics and for extracting scene properties for computer vision, with several examples.

AB - Computational photography combines plentiful computing, digital sensors, modern optics, many varieties of actuators, probes and smart lights to escape the limitations of traditional film cameras and enables novel imaging applications. Unbounded dynamic range, variable focus, resolution, and depth of field, hints about shape, reflectance, and lighting, and new interactive forms of photos that are partly snapshots and partly videos, performance capture and interchangeably relighting real and virtual characters are just some of the new applications emerging in Computational Photography. The computational techniques encompass methods from modification of imaging parameters during capture to sophisticated reconstructions from indirect measurements. We will bypass basic and introductory material presented in earlier versions of this course (Computational Photography 2005,6,7) and expand coverage of more recent topics. Emphasizing more recent work in computational photography and related fields (2006 or later) this course will give more attention to advanced topics only briefly touched before, including tomography, heterodyning and Fourier Slice applications, inverse problems, gradient illumination, novel optics, emerging sensors and social impact of computational photography. With this deeper coverage, the course offers a diverse but practical guide to topics in image capture and manipulation methods for generating compelling pictures for computer graphics and for extracting scene properties for computer vision, with several examples.

UR - http://www.scopus.com/inward/record.url?scp=63849343372&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=63849343372&partnerID=8YFLogxK

U2 - 10.1145/1401132.1401162

DO - 10.1145/1401132.1401162

M3 - Paper

ER -

Debevec P, Raskar R, Tumblin J. Computational photography: Advanced topics. 2008. Paper presented at ACM SIGGRAPH 2008 Classes, Los Angeles, CA, United States. https://doi.org/10.1145/1401132.1401162