capturing light in man and machine l.
Download
Skip this Video
Loading SlideShow in 5 Seconds..
Capturing Light… in man and machine PowerPoint Presentation
Download Presentation
Capturing Light… in man and machine

Loading in 2 Seconds...

play fullscreen
1 / 44

Capturing Light… in man and machine - PowerPoint PPT Presentation


  • 265 Views
  • Uploaded on

Capturing Light… in man and machine 15-463: Computational Photography Alexei Efros, CMU, Fall 2006 Some figures from Steve Seitz, Steve Palmer, Paul Debevec, and Gonzalez et al. Image Formation Digital Camera Film The Eye Digital camera A digital camera replaces film with a sensor array

loader
I am the owner, or an agent authorized to act on behalf of the owner, of the copyrighted work described.
capcha
Download Presentation

PowerPoint Slideshow about 'Capturing Light… in man and machine' - Lucy


An Image/Link below is provided (as is) to download presentation

Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.


- - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - -
Presentation Transcript
capturing light in man and machine
Capturing Light… in man and machine

15-463: Computational Photography

Alexei Efros, CMU, Fall 2006

Some figures from Steve Seitz, Steve Palmer, Paul Debevec, and Gonzalez et al.

image formation
Image Formation

Digital Camera

Film

The Eye

digital camera
Digital camera
  • A digital camera replaces film with a sensor array
    • Each cell in the array is light-sensitive diode that converts photons to electrons
    • Two common types
      • Charge Coupled Device (CCD)
      • CMOS
    • http://electronics.howstuffworks.com/digital-camera.htm
sensor array
Sensor Array

CMOS sensor

interlace vs progressive scan
Interlace vs. progressive scan

http://www.axis.com/products/video/camera/progressive_scan.htm

progressive scan
Progressive scan

http://www.axis.com/products/video/camera/progressive_scan.htm

interlace
Interlace

http://www.axis.com/products/video/camera/progressive_scan.htm

the eye
The Eye
  • The human eye is a camera!
    • Iris - colored annulus with radial muscles
    • Pupil - the hole (aperture) whose size is controlled by the iris
    • What’s the “film”?
  • photoreceptor cells (rods and cones) in the retina
slide12

Two types of light-sensitive receptors

Cones

cone-shaped

less sensitive

operate in high light

color vision

Rods

rod-shaped

highly sensitive

operate at night

gray-scale vision

© Stephen E. Palmer, 2002

rod cone sensitivity
Rod / Cone sensitivity

The famous sock-matching problem…

slide14

Distribution of Rods and Cones

Night Sky: why are there more stars off-center?

© Stephen E. Palmer, 2002

electromagnetic spectrum
Electromagnetic Spectrum

Human Luminance Sensitivity Function

http://www.yorku.ca/eye/photopik.htm

slide16

Visible Light

Why do we see light of these wavelengths?

…because that’s where the

Sun radiates EM energy

© Stephen E. Palmer, 2002

slide17

The Physics of Light

Any patch of light can be completely described

physically by its spectrum: the number of photons

(per time unit) at each wavelength 400 - 700 nm.

© Stephen E. Palmer, 2002

slide18

The Physics of Light

Some examples of the spectra of light sources

© Stephen E. Palmer, 2002

slide19

Yellow

Blue

Purple

Red

400 700

400 700

400 700

400 700

The Physics of Light

Some examples of the reflectance spectra of surfaces

% Photons Reflected

Wavelength (nm)

© Stephen E. Palmer, 2002

slide20

mean

area

variance

The Psychophysical Correspondence

There is no simple functional description for the perceived

color of all lights under all viewing conditions, but …...

A helpful constraint:

Consider only physical spectra with normal distributions

© Stephen E. Palmer, 2002

slide21

# Photons

Wavelength

The Psychophysical Correspondence

Mean

Hue

© Stephen E. Palmer, 2002

slide22

# Photons

Wavelength

The Psychophysical Correspondence

Variance

Saturation

© Stephen E. Palmer, 2002

slide23

# Photons

Wavelength

The Psychophysical Correspondence

Area

Brightness

© Stephen E. Palmer, 2002

slide24

Physiology of Color Vision

Three kinds of cones:

  • Why are M and L cones so close?
  • Are are there 3?

© Stephen E. Palmer, 2002

more spectra
More Spectra

metamers

color sensing in camera rgb
Color Sensing in Camera (RGB)
  • 3-chip vs. 1-chip: quality vs. cost
  • Why more green?

Why 3 colors?

http://www.cooldictionary.com/words/Bayer-filter.wikipedia

practical color sensing bayer grid
Practical Color Sensing: Bayer Grid
  • Estimate RGBat ‘G’ cels from neighboring values

http://www.cooldictionary.com/words/Bayer-filter.wikipedia

rgb color space
RGB color space
  • RGB cube
    • Easy for devices
    • But not perceptual
    • Where do the grays live?
    • Where is hue and saturation?
slide29
HSV
  • Hue, Saturation, Value (Intensity)
    • RGB cube on its vertex
  • Decouples the three components (a bit)
  • Use rgb2hsv() and hsv2rgb() in Matlab
programming assignment 1
Programming Assignment #1
  • How to compare R,G,B channels?
  • No right answer
    • Sum of Squared Differences (SSD):
    • Normalized Correlation (NCC):
image pyramids preview
Image Pyramids (preview)
  • Known as a Gaussian Pyramid [Burt and Adelson, 1983]
    • In computer graphics, a mip map [Williams, 1983]
    • A precursor to wavelet transform
white balance
White Balance

White World / Gray World assumptions

image formation33
Image Formation

f(x,y) = reflectance(x,y) * illumination(x,y)

Reflectance in [0,1], illumination in [0,inf]

problem dynamic range
Problem: Dynamic Range

The real world is

High dynamic range

1

1500

25,000

400,000

2,000,000,000

is camera a photometer
Is Camera a photometer?

Image

pixel (312,284) = 42

42 photos?

long exposure
Long Exposure

10-6

106

High dynamic range

Real world

10-6

106

Picture

0 to 255

short exposure
Short Exposure

10-6

106

High dynamic range

Real world

10-6

106

Picture

0 to 255

image acquisition pipeline

ò

Image Acquisition Pipeline

Lens

Shutter

scene

radiance

(W/sr/m )

sensor

irradiance

sensor

exposure

2

Dt

CCD

ADC

Remapping

analog

voltages

digital

values

pixel

values

Camera is NOT a photometer!

what does the eye sees
What does the eye sees?

The eye has a huge dynamic range

Do we see a true radiance map?

eye is not a photometer
Eye is not a photometer!
  • "Every light is a shade, compared to the higher lights, till you come to the sun; and every shade is a light, compared to the deeper shades, till you come to the night."
  • — John Ruskin, 1879
sine wave
Sine wave

Campbell-Robson contrast sensitivity curve

metamers
Metamers

Eye is sensitive to changes

(more on this later…)