siggraph 2012 computational plenoptic imaging course - 1 introduction

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SIGGRAPH 2012 Computational Plenoptic Imaging Course - 1 Introduction

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This slide has a 16:9 media windowComputational Plenoptic Imaging

Wolfgang HeidrichUniversity of British Columbia

Gordon WetzsteinMIT Media Lab

Ivo IhrkeSaarland University

Douglas LanmanMIT Media Lab

Ramesh RaskarMIT Media Lab

Kurt AkeleyLytro, Inc.

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HDR Imaging & Computed Tomography

Tomographic

HDR Reconstruction

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Lytro Light Field Camera

[Ng et al. 2005]

[Lytro, Inc.]

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Ultra-fast Imaging & Looking around Corners

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Instructors – Introduction & Overview

Gordon Wetzstein

Postdoctoral Researcher

MIT Media Lab

media.mit.edu/~gordonw

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Instructors – High Dynamic Range Imaging

Wolfgang Heidrich

Professor

University of British Columbia

cs.ubc.ca/~heidrich

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Instructors – Spectral Imaging

Ivo Ihrke

Research Group Leader

Saarland University

giana.mmci.uni-saarland.de/

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Instructors – Light Field Acquisition

Douglas Lanman

Research Scientist, Nvidia Research

Postdoctoral Researcher, MIT Media Lab

media.mit.edu/~dlanman

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Instructors – Inside the Lytro Camera

Kurt Akeley

Computer Graphics Pioneer & CTO at Lytro, Inc.

lytro.com/team/kurt_akeley

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Instructors – Ultra-fast Imaging

Ramesh Raskar

Associate Professor

MIT Media Lab

media.mit.edu/~raskar

cameraculture.media.mit.edu

TED Talk: Imaging at a Trillion FPS

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Introduction & Overview, Gordon (7 mins)

High Dynamic Range Imaging, Wolfgang (10 mins)

Spectral Imaging, Ivo (10 mins)

Light Field Acquisition, Douglas (10 mins)

Insight the Lytro Camera, Kurt (20 mins)

Imaging at a Trillion FPS, Ramesh (20 mins)

Schlieren Imaging, Gordon (5 mins)

Q & A, all (10 mins)

Course Outline

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The Mantis Shrimp

Up to 16 different photoreceptors: 12 for color (4 UV, visible, IR) 4 for polarization (linear & circular)

3 bands = trinocular vision

with each eye!

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Sensors Today

sensors are buckets collecting photons…

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Sensors Today

… disregarding color …

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Sensors Today

… direction …

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Sensors Today

… time of arrival …

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Sensors Today

… all photons are integrated.

Information loss!

++

Computational Photography

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Cameras are modeled as one Human Eye[W

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]

webvision.med.utah.eduwikipedia.org

wikipedia.org

How would a camera look like if it was

modeled as a mantis shrimp eye?

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Visual Information Sampled

Human Visual System

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Consumer Video Camera

4 Plenoptic parameterssampled (no Vx,y,z)

1920 x 1080 (HD)

3 – Color Filter Array

Continuous ~30 fps

1

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The Plenoptic Function

xVyV

High-dimensional, ray-based model for light Includes variations in space, time, angle, & wavelength

Common parameterizations

[Adelson and Bergen 91]

( , , , , , , )x y zP P t V V V

( , , , )x yP P V V plenoptic function

4D light field

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Computational Photograph & Plenoptic Imaging

Co-design of camera optics & computational processing

Categorized by plenoptic dimensions (+ HDR)

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