+ All Categories
Home > Documents > Lecture 11, Part 2: Wishlist for Computational Photography€“ Super-human vision – Microscope...

Lecture 11, Part 2: Wishlist for Computational Photography€“ Super-human vision – Microscope...

Date post: 02-May-2018
Category:
Upload: lenga
View: 216 times
Download: 2 times
Share this document with a friend
71
Raskar, Camera Culture, MIT Media Lab Camera Culture Ramesh Raskar Camera Culture Associate Professor, MIT Media Lab Photography Wishlist http://raskar.info
Transcript
Page 1: Lecture 11, Part 2: Wishlist for Computational Photography€“ Super-human vision – Microscope like resolution – High speed – See inside the body (health) – Auto-trigger

Raskar, Camera Culture, MIT Media Lab

Camera Culture

Ramesh Raskar

Camera CultureAssociate Professor, MIT Media Lab

Photography Wishlist

http://raskar.info

Page 2: Lecture 11, Part 2: Wishlist for Computational Photography€“ Super-human vision – Microscope like resolution – High speed – See inside the body (health) – Auto-trigger

Film-likeDigital Photography

Images removed due to copyright restrictions.Early digital cameras: Kodak DCS 400 series electronics on Nikon SLR body.See http://en.wikipedia.org/wiki/Kodak_DCS_400_series

Page 3: Lecture 11, Part 2: Wishlist for Computational Photography€“ Super-human vision – Microscope like resolution – High speed – See inside the body (health) – Auto-trigger

Image removed due to copyright restrictions.See Fig. 1, “Eight major types of optics in animal eyes.”In Fernald, R. D. “Casting a Genetic Light on the Evolution of Eyes.”Science 313, no. 5795 (29 September 2006): 1914-1918.

Page 4: Lecture 11, Part 2: Wishlist for Computational Photography€“ Super-human vision – Microscope like resolution – High speed – See inside the body (health) – Auto-trigger

Wish List Today

• Consumers– Super-human vision– Microscope like resolution– High speed– See inside the body (health)– Auto-trigger– Keep only ‘good’ pics– Find ‘relevant’ pics and better

archiving/access

– Put photographer back in photo!

• Companies– Cost– Resolution– Low-light sensitivity, HDR– Stereo and 3D– Mecha-free zoom/focus– Auto-tagging for sharing– Recognition

Wish List Today

• Consumers– Super-human vision– Microscope like resolution– High speed– See inside the body (health)– Auto-trigger– Keep only ‘good’ pics– Find ‘relevant’ pics and better

archiving/access

– Put photographer back in photo!

• Companies– Cost– Resolution– Low-light sensitivity, HDR– Stereo and 3D– Mecha-free zoom/focus– Auto-tagging for sharing– Recognition

Page 5: Lecture 11, Part 2: Wishlist for Computational Photography€“ Super-human vision – Microscope like resolution – High speed – See inside the body (health) – Auto-trigger

See Kirmani, Hutchinson, Davis and Raskar, ICCV 2009 Oral presentation.http://cameraculture.media.mit.edu/femtotransientimaging

Page 6: Lecture 11, Part 2: Wishlist for Computational Photography€“ Super-human vision – Microscope like resolution – High speed – See inside the body (health) – Auto-trigger

Raskar, Tan, Feris, Yu and Turk.SIGGRAPH 2004.http://web.media.mit.edu/~raskar/NprCamera

Page 7: Lecture 11, Part 2: Wishlist for Computational Photography€“ Super-human vision – Microscope like resolution – High speed – See inside the body (health) – Auto-trigger

Raskar, Camera Culture, MIT Media Lab

Camera Culture

Ramesh Raskar

Camera CultureAssociate Professor, MIT Media Lab

ComputationalPhotography

Wish List

http://raskar.info

Page 8: Lecture 11, Part 2: Wishlist for Computational Photography€“ Super-human vision – Microscope like resolution – High speed – See inside the body (health) – Auto-trigger

Computational Photography Comprehensive

ComputationalPhototourism

Digital

Epsilon

Coded

Essence

Camera ArrayHDR, FoV Focal stack

Decompositionproblems

Depth

Spectrum

LightFields

Insertion

editing from

Human StereoVision

TransientcompletionImaging

Virtual Object

Human

Relighting

Augmented

Experience

Material

single photo

Scene

from photos

MotionMagnification

Resolution

PhotographyPriors aims to make

progress onMetadata both axis

Non-visualData, GPS

8D reflectance field

Angle, spectrum

aware

Raw

SynthesisLow Level Mid Level High

LevelHyperrealism

Page 9: Lecture 11, Part 2: Wishlist for Computational Photography€“ Super-human vision – Microscope like resolution – High speed – See inside the body (health) – Auto-trigger

Raskar, Camera Culture, MIT Media Lab

Camera Culture

Ramesh Raskar

Wish #1

Ultimate Post-capture Control

Page 10: Lecture 11, Part 2: Wishlist for Computational Photography€“ Super-human vision – Microscope like resolution – High speed – See inside the body (health) – Auto-trigger

© 2007 Marc Levoy

Digital Refocusing using Light Field Camera

[Ng et al 2005]125 square-sided microlenses

Courtesy of Ren Ng. Used with permission.

Page 11: Lecture 11, Part 2: Wishlist for Computational Photography€“ Super-human vision – Microscope like resolution – High speed – See inside the body (health) – Auto-trigger

© 2007 Marc Levoy

Zooming into the raw photo

Courtesy of Ren Ng. Used with permission.

Page 12: Lecture 11, Part 2: Wishlist for Computational Photography€“ Super-human vision – Microscope like resolution – High speed – See inside the body (health) – Auto-trigger

Mask based Light Field CameraMask

Sensor

[Veeraraghavan, Raskar, Agrawal, Tumblin, Mohan, Siggraph 2007 ]

Page 13: Lecture 11, Part 2: Wishlist for Computational Photography€“ Super-human vision – Microscope like resolution – High speed – See inside the body (health) – Auto-trigger

MERL, MIT Media Lab Glare Aware Photography: 4D Ray Sampling for Reducing Glare Raskar, Agrawal,Wilson & Veeraraghavan

Captured 2D Photo

Page 14: Lecture 11, Part 2: Wishlist for Computational Photography€“ Super-human vision – Microscope like resolution – High speed – See inside the body (health) – Auto-trigger

MERL, MIT Media Lab Glare Aware Photography: 4D Ray Sampling for Reducing Glare Raskar, Agrawal,Wilson & Veeraraghavan

x

y

u

v

121 Sub-aperture Views

Page 15: Lecture 11, Part 2: Wishlist for Computational Photography€“ Super-human vision – Microscope like resolution – High speed – See inside the body (health) – Auto-trigger

MERL Mask-Enhanced Cameras: Heterodyned Light Fields & Coded Aperture Veeraraghavan, Raskar, Agrawal,Mohan & Tumblin

• Samples individual rays

• Predefined spectrum for lenses• Chromatic abberration

• High alignment precision

• For each lenslet, peripheral pixels are wasted

• Negligible Light Loss

• Samples coded combination of rays

• Supports any wavelength

• Reconfigurable f/#, Easier alignment

• No wastage• High resolution image for parts

of scene in focus

• 50 % Light Loss due to mask

Mask

Sensor

Microlensarray

Sensor

Plenoptic Camera Heterodyne Camera

Page 16: Lecture 11, Part 2: Wishlist for Computational Photography€“ Super-human vision – Microscope like resolution – High speed – See inside the body (health) – Auto-trigger

Motion Blur in Low Light

Page 17: Lecture 11, Part 2: Wishlist for Computational Photography€“ Super-human vision – Microscope like resolution – High speed – See inside the body (health) – Auto-trigger

Ferroelectric shutter in front of the lens is turnedopaque or transparent in a rapid binary sequence

Fluttered Shutter CameraFluttered Shutter CameraRaskar, Agrawal, Tumblin Siggraph2006

Page 18: Lecture 11, Part 2: Wishlist for Computational Photography€“ Super-human vision – Microscope like resolution – High speed – See inside the body (health) – Auto-trigger

Motion Blur in Low Light

Page 19: Lecture 11, Part 2: Wishlist for Computational Photography€“ Super-human vision – Microscope like resolution – High speed – See inside the body (health) – Auto-trigger

Ramesh Raskar, Computational Illumination

CompactProgrammable

Lights ?

Courtesy of cromacom on Flickr.

Courtesy of haraldwalker on Flickr.

Page 20: Lecture 11, Part 2: Wishlist for Computational Photography€“ Super-human vision – Microscope like resolution – High speed – See inside the body (health) – Auto-trigger

Raskar, Camera Culture, MIT Media Lab

Camera Culture

Ramesh Raskar

Wish #1

Ultimate Post-capture Control

•Digital Refocus and Motion blur

•Emulate studio light from compact flash

Page 21: Lecture 11, Part 2: Wishlist for Computational Photography€“ Super-human vision – Microscope like resolution – High speed – See inside the body (health) – Auto-trigger

Raskar, Camera Culture, MIT Media Lab

Camera Culture

Ramesh Raskar

Wish #2

Freedom from Form

Page 22: Lecture 11, Part 2: Wishlist for Computational Photography€“ Super-human vision – Microscope like resolution – High speed – See inside the body (health) – Auto-trigger

Convert LCD into a big flat camera?Beyond Multi-touch: 3D Gestures

Courtesy of Matt Hirsch. Used with permission.

Page 23: Lecture 11, Part 2: Wishlist for Computational Photography€“ Super-human vision – Microscope like resolution – High speed – See inside the body (health) – Auto-trigger

Large Virtual Camera for 3D Interactive HCI and Video Conferencing

Matthew Hirsch, Henry HoltzmanDoug Lanman, Ramesh Raskar

Siggraph Asia 2009

BiDi Screen

Courtesy of Matt Hirsch. Used with permission.

Page 24: Lecture 11, Part 2: Wishlist for Computational Photography€“ Super-human vision – Microscope like resolution – High speed – See inside the body (health) – Auto-trigger

Touch + Hover using Thin, Depth Sensing LCD Sensor

Courtesy of Matt Hirsch. Used with permission.

Page 25: Lecture 11, Part 2: Wishlist for Computational Photography€“ Super-human vision – Microscope like resolution – High speed – See inside the body (health) – Auto-trigger

Sensing Depth fromArray of Virtual Cameras in

LCD

Courtesy of Matt Hirsch. Used with permission.

Page 26: Lecture 11, Part 2: Wishlist for Computational Photography€“ Super-human vision – Microscope like resolution – High speed – See inside the body (health) – Auto-trigger

Shallow DoF with Simple Lens

Compact digital camera Photo with large depth of field

Lots of glass; Heavy; Bulky; Expensive

Photo with narrow depth of fieldSLR camera

Page 27: Lecture 11, Part 2: Wishlist for Computational Photography€“ Super-human vision – Microscope like resolution – High speed – See inside the body (health) – Auto-trigger

Image Destabilization

Camera

StaticScene

Lens Sensor

Page 28: Lecture 11, Part 2: Wishlist for Computational Photography€“ Super-human vision – Microscope like resolution – High speed – See inside the body (health) – Auto-trigger

Image Destabilization

Camera

StaticScene

Lens Motion Sensor Motion

Mohan, Lanman,Hiura, Raskar ICCP 2009

Page 29: Lecture 11, Part 2: Wishlist for Computational Photography€“ Super-human vision – Microscope like resolution – High speed – See inside the body (health) – Auto-trigger

Small Aperture Photo

all-in-focus © 2009 IEEE. Courtesy of IEEE. Used with permission.

Page 30: Lecture 11, Part 2: Wishlist for Computational Photography€“ Super-human vision – Microscope like resolution – High speed – See inside the body (health) – Auto-trigger

Destabilized Small Aperture

focused in the front using destabilization © 2009 IEEE. Courtesy of IEEE. Used with permission.

Page 31: Lecture 11, Part 2: Wishlist for Computational Photography€“ Super-human vision – Microscope like resolution – High speed – See inside the body (health) – Auto-trigger

Adjusting the Focus Plane

focused in the middle using destabilization © 2009 IEEE. Courtesy of IEEE. Used with permission.

Page 32: Lecture 11, Part 2: Wishlist for Computational Photography€“ Super-human vision – Microscope like resolution – High speed – See inside the body (health) – Auto-trigger

Adjusting the Focus Plane

focused in the back using destabilization © 2009 IEEE. Courtesy of IEEE. Used with permission.

Page 33: Lecture 11, Part 2: Wishlist for Computational Photography€“ Super-human vision – Microscope like resolution – High speed – See inside the body (health) – Auto-trigger

Raskar, Camera Culture, MIT Media Lab

Camera Culture

Ramesh Raskar

Wish #3

Understand the World

Page 34: Lecture 11, Part 2: Wishlist for Computational Photography€“ Super-human vision – Microscope like resolution – High speed – See inside the body (health) – Auto-trigger

Convert single 2D photo into 3D ? Snavely, Seitz, Szeliski U of Washington/Microsoft: Photosynth

Images removed due to copyright restrictions.

Page 35: Lecture 11, Part 2: Wishlist for Computational Photography€“ Super-human vision – Microscope like resolution – High speed – See inside the body (health) – Auto-trigger

Images removed due to copyright restrictions.

Exploit Community Photo CollectionsU of Washington/Microsoft: Photosynth

Page 36: Lecture 11, Part 2: Wishlist for Computational Photography€“ Super-human vision – Microscope like resolution – High speed – See inside the body (health) – Auto-trigger

See Kirmani, Hutchinson, Davis and Raskar, ICCV 2009 Oral presentation.http://cameraculture.media.mit.edu/femtotransientimaging

Page 37: Lecture 11, Part 2: Wishlist for Computational Photography€“ Super-human vision – Microscope like resolution – High speed – See inside the body (health) – Auto-trigger

Femto-Photography:Higher Dimensional Capture

FemtoFlash

UltraFastDetector

Serious Sync

Computational Optics

Page 38: Lecture 11, Part 2: Wishlist for Computational Photography€“ Super-human vision – Microscope like resolution – High speed – See inside the body (health) – Auto-trigger
Page 39: Lecture 11, Part 2: Wishlist for Computational Photography€“ Super-human vision – Microscope like resolution – High speed – See inside the body (health) – Auto-trigger

Bokode

Mohan, A., G. Woo, S. Hiura, Q. Smithwick, and R. Raskar. “Bokode: Imperceptible Visual Tagsfor Camera-based Interaction from a Distance.” Proceedings of ACM SIGGRAPH 2009.

Page 40: Lecture 11, Part 2: Wishlist for Computational Photography€“ Super-human vision – Microscope like resolution – High speed – See inside the body (health) – Auto-trigger

Mohan, A., G. Woo, S. Hiura, Q. Smithwick, and R. Raskar. “Bokode: Imperceptible Visual Tagsfor Camera-based Interaction from a Distance.” Proceedings of ACM SIGGRAPH 2009.

Page 41: Lecture 11, Part 2: Wishlist for Computational Photography€“ Super-human vision – Microscope like resolution – High speed – See inside the body (health) – Auto-trigger

Defocusblur of Bokode

Mohan, A., G. Woo, S. Hiura, Q. Smithwick, and R. Raskar. “Bokode: Imperceptible Visual Tagsfor Camera-based Interaction from a Distance.” Proceedings of ACM SIGGRAPH 2009.

Page 42: Lecture 11, Part 2: Wishlist for Computational Photography€“ Super-human vision – Microscope like resolution – High speed – See inside the body (health) – Auto-trigger

Coding in Angle

Mohan, Woo, Smithwick, Hiura, Raskar [Siggraph 2009]

Page 43: Lecture 11, Part 2: Wishlist for Computational Photography€“ Super-human vision – Microscope like resolution – High speed – See inside the body (health) – Auto-trigger

Encoding in Angle, not space, time or wavelength camera

sensorBokode(angle)

circle of confusion circle of information

Quote suggested by Kurt Akeley

Page 44: Lecture 11, Part 2: Wishlist for Computational Photography€“ Super-human vision – Microscope like resolution – High speed – See inside the body (health) – Auto-trigger

Product labels

Street-viewTagging

Mohan, A., G. Woo, S. Hiura, Q. Smithwick, and R. Raskar. “Bokode: Imperceptible Visual Tags for Camera-based Interaction from a Distance.”Proceedings of ACM SIGGRAPH 2009.

Page 45: Lecture 11, Part 2: Wishlist for Computational Photography€“ Super-human vision – Microscope like resolution – High speed – See inside the body (health) – Auto-trigger

MIT media lab camera culture bokode.com mohan, woo, hiura, smithwick, raskar

cell-phone cameraclose to the Bokode

(10,000+ bytes of data)

capturing Bokodes

Page 46: Lecture 11, Part 2: Wishlist for Computational Photography€“ Super-human vision – Microscope like resolution – High speed – See inside the body (health) – Auto-trigger

Raskar, Camera Culture, MIT Media Lab

Camera Culture

Ramesh Raskar

Wish #3

Understand the World

•Identify/recognize Materials•3D Awareness

•Interact with information

Page 47: Lecture 11, Part 2: Wishlist for Computational Photography€“ Super-human vision – Microscope like resolution – High speed – See inside the body (health) – Auto-trigger

Raskar, Camera Culture, MIT Media Lab

Camera Culture

Ramesh Raskar

Wish #4

Sharing Visual Experience

Page 48: Lecture 11, Part 2: Wishlist for Computational Photography€“ Super-human vision – Microscope like resolution – High speed – See inside the body (health) – Auto-trigger

Raskar, Camera Culture, MIT Media Lab

Camera Culture

Ramesh Raskar

Wish #4

Sharing Visual Experience

•LifeLog Auto-summary•Privacy in public and authentication

• Great Photo-frames

Page 49: Lecture 11, Part 2: Wishlist for Computational Photography€“ Super-human vision – Microscope like resolution – High speed – See inside the body (health) – Auto-trigger

6D Photo Frames

2D 2D 2D

1 1

One Pixel of a 6D Display = 4D Display

SinglePixel of

6D Frame Fuchs, Raskar, Seidel, and Lensch. Towards passive 6D reflectance field displays. Proceedings of SIGGRAPH 2008. See also http://web.mit.edu/newsoffice/2008/camera-0807.html.

Page 50: Lecture 11, Part 2: Wishlist for Computational Photography€“ Super-human vision – Microscope like resolution – High speed – See inside the body (health) – Auto-trigger

Raskar, Camera Culture, MIT Media Lab

Camera Culture

Ramesh Raskar

Wish #4

Sharing Visual Experience

•LifeLog Auto-summary•Privacy in public and authentication

•Hyper-real Photo Frames•Print ‘material’

Page 51: Lecture 11, Part 2: Wishlist for Computational Photography€“ Super-human vision – Microscope like resolution – High speed – See inside the body (health) – Auto-trigger

Raskar, Camera Culture, MIT Media Lab

Camera Culture

Ramesh Raskar

Wish #5

Capturing Essence

Page 52: Lecture 11, Part 2: Wishlist for Computational Photography€“ Super-human vision – Microscope like resolution – High speed – See inside the body (health) – Auto-trigger

Essence Photography

Image removed due to copyright restrictions. See Fig. 1 in Jingyi Yu and Leonard McMillan, “A Framework for Multiperspective Rendering”, Rendering Techniques 04, Eurographics Symposium on Rendering (EGSR), 2004, Norrkoping, Sweden. http://graphics.cis.udel.edu/research/EGRW04/EGSR2004.pdf

• Beyond physical realism • New Visual Art Forms

Page 53: Lecture 11, Part 2: Wishlist for Computational Photography€“ Super-human vision – Microscope like resolution – High speed – See inside the body (health) – Auto-trigger

What are the problems with ‘real’ photo in conveying information ?

Why do we hire artists to draw what can be photographed ?

Image removed due to copyright restrictions. Car maintenance manual figure showing where to fill the radiator.

Page 54: Lecture 11, Part 2: Wishlist for Computational Photography€“ Super-human vision – Microscope like resolution – High speed – See inside the body (health) – Auto-trigger

Shadows

Clutter

Many Colors

Highlight Shape Edges

Mark moving parts

Basic colors

Image removed due to copyright restrictions. Car maintenance manual figure showing where to fill the radiator.

Page 55: Lecture 11, Part 2: Wishlist for Computational Photography€“ Super-human vision – Microscope like resolution – High speed – See inside the body (health) – Auto-trigger

Depth Edges with MultiFlashDepth Edges with MultiFlashRaskar, Tan, Feris, Jingyi Yu, Turk – ACM SIGGRAPH 2004

Courtesy of MERL. Used with permission.

Page 56: Lecture 11, Part 2: Wishlist for Computational Photography€“ Super-human vision – Microscope like resolution – High speed – See inside the body (health) – Auto-trigger

Courtesy of MERL. Used with permission.

Page 57: Lecture 11, Part 2: Wishlist for Computational Photography€“ Super-human vision – Microscope like resolution – High speed – See inside the body (health) – Auto-trigger

Courtesy of MERL. Used with permission.

Page 58: Lecture 11, Part 2: Wishlist for Computational Photography€“ Super-human vision – Microscope like resolution – High speed – See inside the body (health) – Auto-trigger

Courtesy of MERL. Used with permission.

Page 59: Lecture 11, Part 2: Wishlist for Computational Photography€“ Super-human vision – Microscope like resolution – High speed – See inside the body (health) – Auto-trigger

Courtesy of MERL. Used with permission.

Page 60: Lecture 11, Part 2: Wishlist for Computational Photography€“ Super-human vision – Microscope like resolution – High speed – See inside the body (health) – Auto-trigger

Depth Discontinuities

Internal and externalShape boundaries, Occluding contour, Silhouettes

Courtesy of MERL. Used with permission.

Page 61: Lecture 11, Part 2: Wishlist for Computational Photography€“ Super-human vision – Microscope like resolution – High speed – See inside the body (health) – Auto-trigger

Our MethodCanny

Courtesy of MERL. Used with permission.

Page 62: Lecture 11, Part 2: Wishlist for Computational Photography€“ Super-human vision – Microscope like resolution – High speed – See inside the body (health) – Auto-trigger

Courtesy of MERL. Used with permission.

Page 63: Lecture 11, Part 2: Wishlist for Computational Photography€“ Super-human vision – Microscope like resolution – High speed – See inside the body (health) – Auto-trigger

Images removed due to copyright restrictions.See “Buttons: A Blind Camera”http://www.blinksandbuttons.net/buttons_en.html

Blind CameraBlind Camera

Sascha Pohflepp, U of the Art, Berlin, 2006

Page 64: Lecture 11, Part 2: Wishlist for Computational Photography€“ Super-human vision – Microscope like resolution – High speed – See inside the body (health) – Auto-trigger

Scene Completion Using Millions of PhotographsHays and Efros, Siggraph 2007

Images removed due to copyright restrictions.See “Buttons: A Blind Camera”http://www.blinksandbuttons.net/buttons_en.html

Page 65: Lecture 11, Part 2: Wishlist for Computational Photography€“ Super-human vision – Microscope like resolution – High speed – See inside the body (health) – Auto-trigger

Camera Culture

Ramesh Raskar

Wish #5

…………………

Page 66: Lecture 11, Part 2: Wishlist for Computational Photography€“ Super-human vision – Microscope like resolution – High speed – See inside the body (health) – Auto-trigger

Photos of tomorrow: computed not recorded

Image removed due to copyright restrictions.Airplane propeller aliasing; see http://scalarmotion.wordpress.com/2009/03/15/propeller-image-aliasing/

Edgerton, Harold E. MIT Museum, Cambridge MA. MIT Museum, Edgerton Digital Collections. http://edgerton-digital-collections.org

Page 67: Lecture 11, Part 2: Wishlist for Computational Photography€“ Super-human vision – Microscope like resolution – High speed – See inside the body (health) – Auto-trigger

Raskar, Camera Culture, MIT Media Lab

Questions• What will a camera look like in 10,20 years?• How will a billion networked and portable cameras change the social

culture?• How will online photo collections transform visual social computing?• How will movie making/new reporting change?• computational-journalism.com

Page 68: Lecture 11, Part 2: Wishlist for Computational Photography€“ Super-human vision – Microscope like resolution – High speed – See inside the body (health) – Auto-trigger

2nd InternationalConference on

ComputationalPhotography

Papers due November 2,

2009

http://cameraculture.media.mit.edu/iccp10

Page 69: Lecture 11, Part 2: Wishlist for Computational Photography€“ Super-human vision – Microscope like resolution – High speed – See inside the body (health) – Auto-trigger

• Ramesh Raskar and Jack Tumblin

• Book Publishers: A K Peters

• ComputationalPhotography.org

Page 70: Lecture 11, Part 2: Wishlist for Computational Photography€“ Super-human vision – Microscope like resolution – High speed – See inside the body (health) – Auto-trigger

• Post-capture control• Emulate studio lights with compact flash• Focus and motion blur

• New forms• Flat camera, large LCDs as cameras• Image destabilization for larger aperture

• Understand the world• Real or fake• Place 2D photo into 3D• Look around corner• Bokode: long distance barcode

• Sharing• Lifelogs auto summary• Privacy/Verification• 6D photoframes

• Essence• New visual arts• Multi-flash camera• Delta-camera and Blind-camera

Computational Photography Wish List

or

Sens

Page 71: Lecture 11, Part 2: Wishlist for Computational Photography€“ Super-human vision – Microscope like resolution – High speed – See inside the body (health) – Auto-trigger

MIT OpenCourseWarehttp://ocw.mit.edu

MAS.531 / MAS.131 Computational Camera and PhotographyFall 2009

For information about citing these materials or our Terms of Use, visit: http://ocw.mit.edu/terms.


Recommended