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Intelligent Photography in a digital age

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Challenges in digital photography. Intelligent features in today's digital cameras ... Low cost brought photography to the masses' ... – PowerPoint PPT presentation

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Title: Intelligent Photography in a digital age


1
Intelligent Photographyin a digital age
  • February 11, 2008

2
Goals
  • Learn a little about photography
  • Understand how basic camera systems work
  • AF auto focus
  • AE auto exposure
  • Recognize intelligent features
  • Show how neural nets and fuzzy logic are used in
    digital cameras

3
Outline
  • Brief history of the camera
  • How a digital camera works
  • Challenges in digital photography
  • Intelligent features in todays digital cameras
  • Case studies
  • Using fuzzy logic and neural nets

4
History of the Camera
  • Pinhole cameras/camera obscura
  • 1000 AD Ibn al-Haytham

5
History of the Camera
  • Wet Plate Cameras
  • 1100 early 1800s
  • Discovery of silver nitrate, silver chloride,
    diaphragm, photochemical effect
  • 1825-1827 Joseph Nicephore Niepce
  • The first photographs
  • Used a pewter place coated with bitumen and
    exposed to light

6
History of the Camera
  • Wet plate cameras
  • 1836 Louis Jacques Daguerre
  • Daguerreotype camera
  • Copper plate coated with silver, treated with
    iodine vapor
  • Developed using mercury vapor and fixed with a
    salt solution
  • 1840 William Fox Talbot
  • Calotype camera

7
History of the Camera
  • Dry plate cameras
  • 1855 von Monckhoven
  • Collodian dry plates
  • 1871 Richard Maddox
  • Gelatin dry plates
  • Began to rival wet plates
  • Pros photographers could use commercially made
    dry plates instead of preparing their own
    emulsions in a mobile dark room
  • Allowed cameras to be small enough to be
    hand-held
  • Shortened exposure times lead to invention of the
    shutter

8
History of the Camera
  • Photographic Film
  • 1885 George Eastman
  • invented paper film
  • 1888 Kodak camera
  • Simple box camera
  • Fixed-focus lens with single shutter speed
  • Low cost brought photography to the masses
  • Preloaded with 100 exposures, had to be returned
    to the factory for processing and reloading
  • 1889 celluloid film
  • 1910 Kodak Brownie
  • Simple and inexpensive enough to introduce the
    snapshot
  • On sale until the 1960s

9
History of the Camera
  • First Modern Cameras
  • 1925 Leica 1
  • Introduced 35mm film
  • 1928 Rolleiflex medium format TLR
  • 1933 Exakta SLR

10
History of the Camera
  • The Modern Camera
  • 1938 Super Kodak Six-20
  • First auto-exposure camera
  • 1948 Polaroid Model 95
  • First instant picture camera
  • 1960 TTL metering
  • 1977 Konica C35AF
  • First mass produced AF point and shoot
  • 1978 Polaroid SX-70
  • First AF SLR
  • 1981 Pentax ME-F
  • First 35mm AF SLR
  • Utilized a motorized lens
  • 1986 Minolta Maxxum 7000
  • Integrated AF system

11
History of the Camera
  • The Digital Camera
  • 1986 Canon RC-701
  • First analog digital camera
  • First used by USAToday for the 1986 World Series
  • Poor quality, could transmit pictures over the
    phone
  • 1988 Canon RC-250 Xapshot
  • Analog camera marketed to consumers
  • 1990s introduction of the digital PS
  • 1999 Nikon D1
  • 2.74MP, first professional digital SLR
  • 2003 Canon 300D (digital rebel)
  • First DSLR under 1000
  • 2007 Canon 40D
  • First live view DSLR

12
How a digital camera works
  • Digital/Film cameras use the same principles
  • Lens
  • Aperture
  • Shutter
  • Film/Sensor

13
How a digital camera works
  • Lenses
  • Fixed-focus, fixed-zoom (disposable cameras)
  • Optical zoom
  • Removable lenses
  • Primes
  • Zooms
  • Image stabilized lenses

14
How a digital camera works
  • Aperture the hole or opening in a lens through
    which light is admitted
  • Controls depth of field
  • Measured in f-stops

15
How a digital camera works
  • Shutter
  • Opens to expose the film or sensor to light
  • Closes to stop exposure
  • Shutter times measured in seconds
  • i.e. 1/100, 1/50, 1/20, 1/10, 1/5, ½, 1, 2, 4, 8
  • Also measured in stops of lights

16
How a digital camera works
  • Film
  • 35mm
  • Windable
  • ISO speed films sensitivity to light
  • ISO 400, 200, 100
  • Higher ISO, faster the film. Lower ISO, slower
    film.
  • Higher ISO, film is more grainy
  • Sensors
  • Like film, different sizes
  • Crop sensors/full frame sensors
  • ISO sensitivity like film
  • Two types
  • CCD charge coupled device, analog shift
    register
  • CMOS - complementary metaloxidesemiconductor
    digital recorder
  • Requires less power, less susceptible to noise

17
How a digital camera works
  • Exposure
  • combination of shutter speed, aperture, and film
    speed (ISO)
  • Correct Exposure
  • a combination of shutter speed, aperture, and ISO
    that provides a correctly exposed image
  • Underexposure too dark
  • Overexposure washed out
  • Example filling a glass of water from a faucet

18
Exposure
  • For any given situation, there are many
    creatively correct exposures
  • Seven different kinds of creative exposure
  • Story telling small apertures (f/32, f/22,
    f/16)
  • Isolation large apertures (f/2.8, f/4, f/5.6)
  • Who cares in between apertures, depth of field
    isnt a concern
  • Macro out of focus backgrounds (bokeh)
  • Freeze action fast shutter speeds (1/1000,
    1/500, 1/250)
  • Panning medium shutter speeds (1/60, 1/30)
  • Imply motion snow shutter speeds (1/4, ½, 1)

19
Exposure
  • A Stop of light a doubling or halving of
    light
  • One stop of light is equal to another
  • One f-stop
  • One ISO stop
  • One shutter stop
  • Can trade one stop for another to keep the same
    exposure
  • Sunny f/16 rule on a sunny day, f/16 and 1/ISO
    to give correct exposure

20
Challenges in Digital Photography
  • Technological issues
  • File types
  • Auto Focus
  • Auto Exposure
  • Noise Reduction
  • Sharpness
  • Contrast
  • White Balance

21
Challenges in Digital Photography
  • File Types
  • JPEG joint photographic experts group
  • Most commonly used format for web and digital
    cameras
  • Pros used everywhere, small file sizes, good
    compression, fit more on a memory card, faster
    download times
  • Cons lossy compression leads to data loss and
    image degradation from resaving
  • TIFF tagged image file format
  • Pros lossless image compression, no image
    degradation
  • Cons not universally supported, large image
    sizes, still lose some information and ability to
    process photos
  • RAW camera proprietary format
  • Each camera has its own format
  • Pros full control over image processing,
    smaller files than TIFF, completely lossless, no
    compression
  • Cons almost no support, formats constantly
    changing, must do all processing manually

22
Challenges in Digital Photography
  • Auto-Focus
  • Active methods independent of the optical
    system
  • IR and ultrasounds
  • Work in low light, low contrast situations, will
    not work through glass or water
  • Passive methods uses analysis of the image
    itself
  • Phase Detection and Contrast Measurement
  • More accurate, will work through glass, bad in
    low light or low contrast situations, allows for
    high numbers of focus points
  • Can only be used with digital cameras

23
Challenges in Digital Photography
  • Auto Focus how does it work?
  • Active
  • Sends a signal towards target
  • Measures returning signal
  • Calculates distance
  • Drives lens to desired position

24
Challenges in Digital Photography
  • Auto Focus how does it work?
  • Passive
  • Looks at current image
  • Move lens slightly, compare the two images
    (sharpness, contrast)
  • If better, keep moving. If worse, go other
    direction

25
Challenges in Digital Photography
  • Auto Exposure choosing the correct exposure
  • Metering Techniques
  • Spot only measures in a 2-3 degree cone in the
    center of image
  • Center Weighted weights the center 50-60 of
    the image
  • Average averages the entire scene
  • Partial only uses a certain region (usually the
    center)
  • Evaluative uses information from several
    zones and combines the info to find the best
    exposure
  • Scene Modes gives the camera an idea of what it
    is seeing so it can apply special rules when
    metering (night, indoors, museum, snow, sports)

26
Challenges in Digital Photography
  • Auto Exposure how does it work?
  • 1. Exposure mode measures incoming light
  • 2. Calculates exposure so that scene is
    approximately 18 gray
  • 3. Calculates minimum shutter speed based on lens
    focal length
  • 4. Calculates required aperture for min shutter
    speed
  • 5. If not possible, add stops from ISO
  • 6. If necessary, shoot with aperture wide open

27
Challenges in Digital Photography
  • 18 gray card, AE
  • White card, AE
  • White card, ME
  • Black card, ME
  • Black Card, ME
  • Black, Gray, and White cards, AE

28
Intelligent Cameras
  • Todays digital cameras have many intelligent
    capabilities
  • Fuzzy Logic systems
  • Auto exposure decision making
  • Focus point selection
  • Passive auto focus
  • Neural systems
  • Evaluative or matrix metering
  • Face detection

29
Intelligent Cameras
  • Auto Exposure Decision Making
  • Once an exposure has been calculated (using any
    of the metering methods) must then choose the
    creatively correct exposure
  • Fuzzy rules based on
  • Available ISOs, shutter speeds, and apertures
  • Weights or priorities given to different settings
  • Example Auto depth of field, action, museum modes

30
Intelligent Cameras
  • Focus Point Selection
  • Most newer cameras have multiple focus points
  • Must choose which focus point you intended the
    camera to use
  • Fuzzy logic rules
  • If 1 is near and 2 and 3 is far, 1 is somewhat
    likely
  • If 1 is near and 2 is near and 3 is far, 1 and 2
    are highly likely
  • If 1 and 3 are far and 2 is near, 2 is highly
    likely
  • Ect.

31
Intelligent Cameras Case Study
  • Passive Auto-focus using Fuzzy Logic
  • Image is compared as lens focuses to choose the
    best image
  • Using a sharpness measure
  • Define over a portion of the image
  • Use fuzzy membership functions and rules to drive
    the lens

32
Intelligent Cameras Case Study
  • Passive Auto-focus
  • Fuzzy rules
  • If sharpness is increasing fast, move lens fast
    in same direction
  • If sharpness is increasing slowly, move lens
    slowly in same direction
  • If sharpness is not changing, do not move lens
  • If sharpness is decreasing, move lens lowly in
    opposite direction
  • Use Matlabs Fuzzy Logic toolbox to easily model
    this system

33
Case Study
  • Face Detection via neural network
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