Cameras - Computer Sciencelazebnik/spring11/lec02_camera.pdf · Overview • The pinhole projection model • Qualitative properties • Perspective projection matrixPerspective projection

Cameras

Overview• The pinhole projection model

• Qualitative properties• Perspective projection matrix• Perspective projection matrix

• Cameras with lenses• Depth of focusDepth of focus• Field of view• Lens aberrations

Di it l• Digital cameras• Sensors• ColorColor• Artifacts

Let’s design a camera

Idea 1: put a piece of film in front of an objectDo we get a reasonable image?Do we get a reasonable image?

Slide by Steve Seitz

Pinhole camera

Add a barrier to block off most of the rays• This reduces blurring• The opening is known as the aperture


Pinhole camera model

Pinhole model:• Captures pencil of rays – all rays through a single point• The point is called Center of Projection (focal point)• The image is formed on the Image PlaneThe image is formed on the Image Plane


Dimensionality reduction: from 3D to 2D

3D world 2D image

Point of observation

What is preserved?• Straight lines, incidence

Figures © Stephen E. Palmer, 2002

What have we lost?• Angles, lengths Slide by A. Efros

Projection properties• Many-to-one: any points along same visual

ray map to same point in image• Points → points

• But projection of points on focal plane is undefined

Lines lines (collinearit is preser ed)• Lines → lines (collinearity is preserved)• But lines through focal point (visual rays) project to a point

• Planes → planes (or half-planes)• Planes → planes (or half-planes)• But planes through focal point project to lines

Vanishing points• Each direction in space has its own vanishing point

• All lines going in that direction converge at that point• Exception: directions parallel to the image planeException: directions parallel to the image plane

Vanishing points• Each direction in space has its own vanishing point

• All lines going in that direction converge at that point• Exception: directions parallel to the image planeException: directions parallel to the image plane

• How do we construct the vanishing point of a line?• What about the vanishing line of a plane?

image plane

vanishing point

cameracenter

line on ground plane

One-point perspectiveMasaccio, Trinity, Santa

Maria Novella, Florence, 1425-28

One of the first consistent uses of perspective inperspective in Western art

Perspective distortion• Problem for architectural photography:

converging verticals

Source: F. Durand


converging verticals

Tilting the camera upwards results in converging verticals

Keeping the camera level, with an ordinary lens, captures only the bottom portion of the building

Shifting the lens upwards results in a picture of the entire subject

• Solution: view camera (lens shifted w.r.t. film)

Source: F. Durandhttp://en.wikipedia.org/wiki/Perspective_correction_lens


converging verticals• Result:

Source: F. Durand

Perspective distortion• What does a sphere project to?

Image source: F. Durand

Perspective distortion• What does a sphere project to?

Perspective distortion• The exterior columns appear bigger• The distortion is not due to lens flaws• Problem pointed out by Da Vinci

Slide by F. Durand

Perspective distortion: People

Modeling projectiony

f

z

Th di t t

x

The coordinate system• The optical center (O) is at the origin• The image plane is parallel to xy-plane (perpendicular to z axis)

Source: J. Ponce, S. Seitz

Modeling projectiony

f

z

P j ti ti

x

Projection equations• Compute intersection with image plane of ray from P = (x,y,z) to O• Derived using similar triangles

),,(),,( fzyf

zxfzyx →

• We get the projection by throwing out the last coordinate:

Source: J. Ponce, S. Seitz

• We get the projection by throwing out the last coordinate:

),(),,(zyf

zxfzyx →

Homogeneous coordinates

Is this a linear transformation?

),(),,(zyf

zxfzyx →

Is this a linear transformation?

Trick: add one more coordinate:• no—division by z is nonlinear

homogeneous image coordinates

homogeneous scene coordinates

Converting from homogeneous coordinates


Perspective Projection MatrixProjection is a matrix multiplication using homogeneous

coordinates


coordinates

⎥⎤

⎢⎡

⎥⎥⎤

⎢⎢⎡

⎥⎤

⎢⎡ x

yx

00100001

)( yfxfdivide by the third ⎥

⎥⎥

⎦⎢⎢⎢

⎣

=

⎥⎥⎥

⎦⎢⎢⎢

⎣⎥⎥⎥

⎦⎢⎢⎢

⎣ fzy

zy

f /1

0/1000010 ),(

zyf

zf⇒

coordinate⎦⎣

⎦⎣⎦⎣ 1


coordinates

⎥⎤

⎢⎡

⎥⎥⎤

⎢⎢⎡

⎥⎤

⎢⎡ x

yx

00100001

)( yfxfdivide by the third ⎥

⎥⎥

⎦⎢⎢⎢

⎣

=

⎥⎥⎥

⎦⎢⎢⎢

⎣⎥⎥⎥

⎦⎢⎢⎢

⎣ fzy

zy

f /1

0/1000010 ),(

zyf

zf⇒

coordinate⎦⎣

⎦⎣⎦⎣ 1

In practice: lots of coordinate transformations…

World to camera coord.

trans. matrix

Perspectiveprojection matrix

(3x4)

Camera to pixel coord. trans. matrix =

2Dpoint(3x1)

3Dpoint(4x1)

(4x4)(3x4)(3x3)(3x1) (4x1)

Orthographic ProjectionSpecial case of perspective projection

• Distance from center of projection to image plane is infinite

Image World

• Also called “parallel projection”• Also called parallel projection• What’s the projection matrix?


Building a real camera

Camera Obscura

• Basic principle known to Mozi (470-390 BCE),Mozi (470 390 BCE), Aristotle (384-322 BCE)

• Drawing aid for artists: gdescribed by Leonardo da Vinci (1452-1519)

Gemma Frisius, 1558

Source: A. Efros

Abelardo Morell

From Grand Images Through a Tiny Opening, Photo District News, February 2005

Camera Obscura Image of Manhattan View L ki S th i L R 1996Looking South in Large Room, 1996

http://www.abelardomorell.net/camera_obscura1.html

Home-made pinhole camera

Why soblurry?

http://www.debevec.org/Pinhole/Slide by A. Efros

Shrinking the aperture

Why not make the aperture as small as possible?• Less light gets throughLess light gets through• Diffraction effects…


Shrinking the aperture

Adding a lens

A lens focuses light onto the filmA lens focuses light onto the film• Thin lens model:

– Rays passing through the center are not deviated( i h l j i d l ill h ld )(pinhole projection model still holds)


Adding a lens

focal point

A lens focuses light onto the film

f

A lens focuses light onto the film• Thin lens model:

– Rays passing through the center are not deviated( i h l j i d l ill h ld )(pinhole projection model still holds)

– All parallel rays converge to one point on a plane located at the focal length f


Adding a lens

“circle of confusion”

A lens focuses light onto the filmA lens focuses light onto the film• There is a specific distance at which objects are “in focus”

– other points project to a “circle of confusion” in the image


Thin lens formula• What is the relation between the focal length (f),

the distance of the object from the optical center (D), and the distance at which the object will be in focus (D’)?and the distance at which the object will be in focus (D )?

DD’

f

Slide by Frédo Durand

objectimage plane

lens

Thin lens formula

Similar triangles everywhere!

DD’

f


objectimage plane

lens

Thin lens formula

Similar triangles everywhere! y’/y = D’/D

DD’

fy

y’y


objectimage plane

lens

Thin lens formula

Similar triangles everywhere! y’/y = D’/Dy’/y = (D’ f)/f

DD’y /y = (D -f)/f

fy

y’y


objectimage plane

lens

Thin lens formula

1D’ D

1 1f+ =

Any point satisfying the thin lens equation is in focus.

DD’

f


objectimage plane

lens

Depth of Field

http://www.cambridgeincolour.com/tutorials/depth-of-field.htm

Slide by A. Efros

How can we control the depth of field?

Ch i th t i ff t d th f fi ldChanging the aperture size affects depth of field• A smaller aperture increases the range in which the object is

approximately in focus• But small aperture reduces amount of light – need to

increase exposureSlide by A. Efros

Varying the aperture

Large aperture = small DOF Small aperture = large DOFSlide by A. Efros

Field of View

Slide by A. Efros

Field of View

Slide by A. EfrosWhat does FOV depend on?

Field of View

ff

FOV depends on focal length and size of the camera retina

Smaller FOV = larger Focal LengthSlide by A. Efros

Field of View / Focal Length

Large FOV, small fCamera close to car

Small FOV, large fCamera far from the car

Sources: A. Efros, F. Durand

Same effect for faces

standardwide-angle telephotog p

Source: F. Durand

Approximating an affine camera

Source: Hartley & Zisserman

The dolly zoom• Continuously adjusting the focal length while

the camera moves away from (or towards) th bj tthe subject

http://en.wikipedia.org/wiki/Dolly_zoom

The dolly zoom• Continuously adjusting the focal length while

the camera moves away from (or towards) th bj tthe subject

• “The Vertigo shot”

Examples of dolly zoom from movies (YouTube)Examples of dolly zoom from movies (YouTube)

Real lenses

Lens Flaws: Chromatic AberrationLens has different refractive indices for different

wavelengths: causes color fringing

Near Lens CenterNear Lens Center Near Lens Outer EdgeNear Lens Outer Edge

Lens flaws: Spherical aberrationSpherical lenses don’t focus light perfectly

Rays farther from the optical axis focus closer

Lens flaws: Vignetting

Radial Distortion• Caused by imperfect lenses• Deviations are most noticeable near the edge of the lens

No distortion Pin cushion Barrel

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• Each cell in the array is light-sensitive diode that converts photons to electrons• Two common types

– Charge Coupled Device (CCD)– Complementary metal oxide semiconductor (CMOS)Complementary metal oxide semiconductor (CMOS)

• http://electronics.howstuffworks.com/digital-camera.htm


Color sensing in camera: Color filter array

Estimate missing components from

Bayer grid

components from neighboring values(demosaicing)

Why more green?y g

Source: Steve Seitz

Human Luminance Sensitivity Function

Problem with demosaicing: color moire

Slide by F. Durand

The cause of color moire

detector

Fine black and white detail in imagei i t t d l i f timisinterpreted as color information

Slide by F. Durand

Color sensing in camera: Prism• Requires three chips and precise alignment• More expensive

CCD(R)

CCD(G)CCD(G)

CCD(B)( )

Color sensing in camera: Foveon X3• CMOS sensor• Takes advantage of the fact that red, blue and green

light penetrate silicon to different depthslight penetrate silicon to different depths

http://en.wikipedia.org/wiki/Foveon_X3_sensorhttp://www.foveon.com/article.php?a=67

better image quality

Source: M. Pollefeys

Digital camera artifacts

Noise– low light is where you most notice noise

li ht iti it (ISO) / i t d ff– light sensitivity (ISO) / noise tradeoff– stuck pixels

In-camera processing– oversharpening can produce halos

Compression– JPEG artifacts, blockingJPEG artifacts, blocking

Blooming– charge overflowing into neighboring pixels

Color artifacts– purple fringing from microlenses, – white balance


Historic milestones• Pinhole model: Mozi (470-390 BCE),

Aristotle (384-322 BCE)• Principles of optics (including lenses):Principles of optics (including lenses):

Alhacen (965-1039 CE) • Camera obscura: Leonardo da Vinci

(1452-1519) Johann Zahn (1631-1707)

Alhacen’s notes

(1452-1519), Johann Zahn (1631-1707)• First photo: Joseph Nicephore Niepce (1822)• Daguerréotypes (1839)• Photographic film (Eastman, 1889)• Cinema (Lumière Brothers, 1895)• Color Photography (Lumière Brothers, 1908)

Niepce, “La Table Servie,” 1822

Color Photography (Lumière Brothers, 1908)• Television (Baird, Farnsworth, Zworykin, 1920s)• First consumer camera with CCD

Sony Mavica (1981)Sony Mavica (1981)• First fully digital camera: Kodak DCS100 (1990)

CCD chip

Early color photographySergey Prokudin-Gorskii (1863-1944)Photographs of the Russian empire (1909-1916)A i t 1 (d F b 1)!Assignment 1 (due February 1)!

Lantern projector

http://www.loc.gov/exhibits/empire/http://en.wikipedia.org/wiki/Sergei_Mikhailovich_Prokudin-Gorskii

First digitally scanned photograph• 1957, 176x176 pixels

http://listverse.com/history/top-10-incredible-early-firsts-in-photography/

Documents

Cameras - Computer Sciencelazebnik/spring11/lec02_camera.pdf · Overview • The pinhole projection model • Qualitative properties • Perspective projection matrixPerspective projection