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Home > Documents > Cameras Course web page: vision.cis.udel.edu/cv March 22, 2003 Lecture 16.

Cameras Course web page: vision.cis.udel.edu/cv March 22, 2003 Lecture 16.

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Cameras Course web page: vision.cis.udel.edu/cv March 22, 2003 Lecture 16
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Page 1: Cameras Course web page: vision.cis.udel.edu/cv March 22, 2003  Lecture 16.

Cameras

Course web page:vision.cis.udel.edu/cv

March 22, 2003 Lecture 16

Page 2: Cameras Course web page: vision.cis.udel.edu/cv March 22, 2003  Lecture 16.

Announcements

• Read Forsyth & Ponce, Chapter 3-3.3 on camera calibration for Monday

• HW3: Some image sizes have been reduced and you don’t have to try as many window sizes

Page 3: Cameras Course web page: vision.cis.udel.edu/cv March 22, 2003  Lecture 16.

Outline

• Lenses• Discretization effects of image

capture

Page 4: Cameras Course web page: vision.cis.udel.edu/cv March 22, 2003  Lecture 16.

Ideal Pinhole Camera

from Forsyth & Ponce

Each point on the image plane collects light along one ray from the scene

Page 5: Cameras Course web page: vision.cis.udel.edu/cv March 22, 2003  Lecture 16.

Real Pinhole Cameras• Problems

– Pinholes don’t let through much light ! Dimness/exposure time trade-off

– A bigger hole (aka aperture) means that each image point sees a disk of scene points, whose contributions are averaged ! Blurring

– Very small apertures introduce diffraction effects

from Forsyth & Ponce

Page 6: Cameras Course web page: vision.cis.udel.edu/cv March 22, 2003  Lecture 16.

Real pinhole camera images

from Forsyth & Ponce

Hole too small:

Diffraction

Hole too big:

Blurring

Page 7: Cameras Course web page: vision.cis.udel.edu/cv March 22, 2003  Lecture 16.

Lenses

• Benefits: Increase light-gathering power by focusing bundles of rays from scene points onto image points

from Forsyth & Ponce

Page 8: Cameras Course web page: vision.cis.udel.edu/cv March 22, 2003  Lecture 16.

Refraction• Definition: Bending of light ray as it crosses

interface between media (e.g., air ! glass or vice versa)

• Index of refraction (IOR) n for a medium: Ratio of speed of light in vacuum to that in medium– By definition, n ¸ 1

– Examples: 1 ¼ nair < nwater < nglass

µ1: Angle of incidence

µ2: Angle of refraction

courtesy ofWolfram

Page 9: Cameras Course web page: vision.cis.udel.edu/cv March 22, 2003  Lecture 16.

Snell’s Law

• The relationship between the angle of incidence and the angle of refraction is given by:

courtesy ofWolfram

Page 10: Cameras Course web page: vision.cis.udel.edu/cv March 22, 2003  Lecture 16.

Snell’s Law: Implications• Since µ / sin µ over the range [0, ¼/2]

and the angle of refraction is given by

we can infer the following from their IORs:

n1 < n2 ) µ2 < µ1 and n1 > n2 ) µ2 > µ1

courtesy ofWolfram

So n1 < n2

in this image

divergence

convergence

Page 11: Cameras Course web page: vision.cis.udel.edu/cv March 22, 2003  Lecture 16.

Converging Light Rays

n1 < n2

n2n1

Page 12: Cameras Course web page: vision.cis.udel.edu/cv March 22, 2003  Lecture 16.

Redirecting Light

• Prisms: Light traveling from a low IOR medium to a high IOR medium and back again is bent by an amount proportional to the apex angle

courtesy of Prentice-Hall

Page 13: Cameras Course web page: vision.cis.udel.edu/cv March 22, 2003  Lecture 16.

Focusing Light with Prisms

courtesy of S. Majewski

Page 14: Cameras Course web page: vision.cis.udel.edu/cv March 22, 2003  Lecture 16.

Focusing Light with Prisms: Many Beams

Light rays intersecting the prisms at different locationshave different angles of incidence and thus wind up withdifferent focal points

courtesy of S. Majewski

Page 15: Cameras Course web page: vision.cis.udel.edu/cv March 22, 2003  Lecture 16.

Lenses as Compound Prisms

We can get the light rays to have a common focus bygradually widening the effective apex angle as we getfarther from the center of the lens

courtesy of S. Majewski

Page 16: Cameras Course web page: vision.cis.udel.edu/cv March 22, 2003  Lecture 16.

Thin Lenses

• Properties– A ray entering the lens parallel to the optical axis goes

through the focus on the other side– A ray entering the lens from the focus on one side

emerges parallel to the axis on the other side

optical axis

focus focuscourtesy of MTSU

Page 17: Cameras Course web page: vision.cis.udel.edu/cv March 22, 2003  Lecture 16.

Thin Lens Image Projection

courtesy of U. Colorado

z

Page 18: Cameras Course web page: vision.cis.udel.edu/cv March 22, 2003  Lecture 16.

Thin Lens Image Projection

z

Page 19: Cameras Course web page: vision.cis.udel.edu/cv March 22, 2003  Lecture 16.

Thin Lens Image Projection

z

Page 20: Cameras Course web page: vision.cis.udel.edu/cv March 22, 2003  Lecture 16.

Thin Lens Image Projection

z

Page 21: Cameras Course web page: vision.cis.udel.edu/cv March 22, 2003  Lecture 16.

Thin Lens Model

from Forsyth & Ponce

Page 22: Cameras Course web page: vision.cis.udel.edu/cv March 22, 2003  Lecture 16.

Depth of Field

• The thin lens equation implies that scene points at different distances from the lens are in focus at different image distances

• Only a given range of object distances produce acceptable sharpness

Page 23: Cameras Course web page: vision.cis.udel.edu/cv March 22, 2003  Lecture 16.

Field of View

FOV is defined as 2Á, where Á = tan-1 d/2f

from Forsyth & Ponce

Page 24: Cameras Course web page: vision.cis.udel.edu/cv March 22, 2003  Lecture 16.

Lens Problems

• Limited depth of field• Radial, tangential distortion:

Straight lines curved• Vignetting: Image darker at edges• Spherical aberration• Chromatic aberration: Focal length

function of wavelength

Page 25: Cameras Course web page: vision.cis.udel.edu/cv March 22, 2003  Lecture 16.

Radial Distortion

Page 26: Cameras Course web page: vision.cis.udel.edu/cv March 22, 2003  Lecture 16.

Vignetting

Page 27: Cameras Course web page: vision.cis.udel.edu/cv March 22, 2003  Lecture 16.

Analog Digital

• Sampling Aliasing • Quantization Banding• Limited dynamic range

Saturation • Temporal integration Motion

blur• Noise

1/30th sec.exposure

Page 28: Cameras Course web page: vision.cis.udel.edu/cv March 22, 2003  Lecture 16.

Sampling

• Limited spatial resolution of capture devices results in visual artifacts (i.e., aliasing)– Nyquist theorem: Must sample 2x

highest frequency component of signal to reconstruct adequately

Page 29: Cameras Course web page: vision.cis.udel.edu/cv March 22, 2003  Lecture 16.

High Dynamic Range Panoramas

courtesy of D. Lischinski

HDRmosaic

Under- andover-exposed

mosaic


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