Famous Images in Famous Images in Computer Graphics & Computer Graphics &

Image ProcessingImage Processing

Sérgio Leal N.o 0230261Sérgio Leal N.o 0230261Erasmus student at:Erasmus student at:

Institute for Computer Graphics and Vision Institute for Computer Graphics and Vision Technical University of Graz Technical University of Graz

2002/20032002/2003mcamara@sbox.TUGraz.atmcamara@sbox.TUGraz.at

IntroductionIntroduction

Stanford’s BunnyStanford’s Bunny

LenaLena

The teapotThe teapot

Why?Why?

Why the same images are always Why the same images are always used ?used ?

Which properties have this images Which properties have this images that make them special ?that make them special ?

Which properties should candidate Which properties should candidate images have ?images have ?

Stanford’s BunnyStanford’s Bunny

Created by Greg Created by Greg Turk and Marc Turk and Marc Levoy.Levoy.

Developed to Developed to create polygonal create polygonal models from models from several range several range scans.scans.

Stanford’s BunnyStanford’s Bunny

Original paper –Original paper –

"Zippered Polygon Meshes from Range Images" "Zippered Polygon Meshes from Range Images"

Greg Turk and Marc Levoy Greg Turk and Marc Levoy

Siggraph 94, pp. 311-318 Siggraph 94, pp. 311-318

On-line version of paper availableOn-line version of paper available

Why Stanford’s Bunny?Why Stanford’s Bunny?

Fairly smooth, Fairly smooth, Has manifold connectivity,Has manifold connectivity, Original was red and diffuseOriginal was red and diffuse Not complex (69,451 triangles).Not complex (69,451 triangles).

Stanford’s Bunny Stanford’s Bunny CuriositiesCuriosities

Chosen by Chosen by chance at chance at Easter time on a Easter time on a shopshop

Made of terra Made of terra cotacota

Original still Original still lives at Stanford lives at Stanford

No bottomNo bottom

Lena or LennaLena or Lenna Widely used standard test Widely used standard test

images images

Used for compression Used for compression algorithms algorithms

Swedish woman named Swedish woman named Lena Sjooblom Lena Sjooblom

Digitized from Playboy Digitized from Playboy centerfold, from November centerfold, from November 1972. 1972.

Lena or LennaLena or Lenna

Digitized at the Digitized at the University of University of Southern Southern California as one California as one of many possible of many possible images for use images for use by the research by the research community. community.

Other examplesOther examples

Lena or LennaLena or Lenna

Unhappy people about the sourceUnhappy people about the source

Some controversy Some controversy

Degrading to women Degrading to women

Playboy’s copyrightsPlayboy’s copyrights

Why Lena?Why Lena?

Shading, Shading, Texture,Texture, Flat regions, Flat regions, Nice mixture of detail, Nice mixture of detail,

Good for testing various image Good for testing various image processing algorithms. processing algorithms.

The Lena image is a picture of an The Lena image is a picture of an attractive woman.attractive woman.

Lena curiositiesLena curiosities Married and lives in south Stockholm Married and lives in south Stockholm The image appeared in the movie The image appeared in the movie

Sleeper Sleeper Didn’t know how famous her picture wasDidn’t know how famous her picture was

Lena curiositiesLena curiosities

Made her first public Made her first public appearance in 1997 at the appearance in 1997 at the 50th Annual Conference of 50th Annual Conference of the Society for Imaging the Society for Imaging Science in TechnologyScience in Technology

Nowadays helps Nowadays helps handicapped people work handicapped people work on (non-networked) on (non-networked) computerscomputers

The teapotThe teapot

Done by Martin NewellDone by Martin Newell

Suggested by his wifeSuggested by his wife

Due to lack of computer modelsDue to lack of computer models

Also digitized a spoon and a cup and Also digitized a spoon and a cup and saucer. saucer.

The teapotThe teapot

The original teapot The original teapot is about 30% taller is about 30% taller

Jim Blinn, to make Jim Blinn, to make the model conform the model conform to the pixel raster, to the pixel raster, squashed the model squashed the model instead of scaling instead of scaling the image. the image.

Why the teapot ?Why the teapot ?

Instantly recognisable, Instantly recognisable, Complex topology, Complex topology, Self-shadows, Self-shadows, Hidden surface,Hidden surface, Convex and concave surfaces Convex and concave surfaces ‘‘Saddle points'. Saddle points'. Few storage spaceFew storage space

The teapot curiositiesThe teapot curiosities The original is at Ephemera collection The original is at Ephemera collection

of the Computer History Museumof the Computer History Museum

The teapot curiositiesThe teapot curiosities

The original teapot data has no bottomThe original teapot data has no bottom. .

Martin Newell at SIGGRAPH in middle 80 Martin Newell at SIGGRAPH in middle 80 regretted that from all the work he had regretted that from all the work he had done, the only thing he will be done, the only thing he will be remembered for is "That Damned Teapot".remembered for is "That Damned Teapot".

Rumours say that the early computer Rumours say that the early computer graphics pioneers could type the teapot by graphics pioneers could type the teapot by memorymemory

ConclusionConclusion Usually chosen by chanceUsually chosen by chance After characteristic noticedAfter characteristic noticed Gain a sentimental valueGain a sentimental value No special selection algorithmNo special selection algorithm Keep trying new onesKeep trying new ones

ReferencesReferences University of Southern California image database:University of Southern California image database:

Girl - Girl - http://http://sipi.usc.edu/services/database/database.cgi?volumesipi.usc.edu/services/database/database.cgi?volume==misc&imagemisc&image=1#top=1#top Couple - Couple - http://http://sipi.usc.edu/services/database/database.cgi?volumesipi.usc.edu/services/database/database.cgi?volume==misc&imagemisc&image=2#top=2#top House - House - http://http://sipi.usc.edu/services/database/database.cgi?volumesipi.usc.edu/services/database/database.cgi?volume==misc&imagemisc&image=5#top=5#top Tree - Tree - http://http://sipi.usc.edu/services/database/database.cgi?volumesipi.usc.edu/services/database/database.cgi?volume==misc&imagemisc&image=6#top=6#top Lena - Lena - http://http://sipi.usc.edu/services/database/database.cgi?volumesipi.usc.edu/services/database/database.cgi?volume==misc&imagemisc&image=12#top=12#top

Other imagesOther images Gold teapot - Gold teapot - http://www.okino.com/slidshow/teapotx1.htmhttp://www.okino.com/slidshow/teapotx1.htm Original teapot - Original teapot - http://www.sjbaker.org/teapot/http://www.sjbaker.org/teapot/ Rendered teapot - Rendered teapot - http://www.sjbaker.org/teapot/http://www.sjbaker.org/teapot/ Real teapot @ museum - Real teapot @ museum - http://www.sjbaker.org/teapot/http://www.sjbaker.org/teapot/ Stanford bunny images – by Stanford bunny images – by Peter Lindstrom et al. well documented at - Peter Lindstrom et al. well documented at -

http://www.gvu.gatech.edu/people/faculty/greg.turk/bunny/bunny.htmlhttp://www.gvu.gatech.edu/people/faculty/greg.turk/bunny/bunny.html Lena art images – Lena art images – http://www.ece.utexas.edu/~sheikh/art/http://www.ece.utexas.edu/~sheikh/art/ Actual Lena - Actual Lena - http://www-2.cs.cmu.edu/~chuck/lennapg/lenna.shtmlhttp://www-2.cs.cmu.edu/~chuck/lennapg/lenna.shtml Lena „pointy“ - Lena „pointy“ - http://www-2.cs.cmu.edu/~chuck/lennapg/lenna.shtmlhttp://www-2.cs.cmu.edu/~chuck/lennapg/lenna.shtml

Webpages :Webpages : Stanford bunny story - Stanford bunny story -

http://www.gvu.gatech.edu/people/faculty/greg.turk/bunny/bunny.htmlhttp://www.gvu.gatech.edu/people/faculty/greg.turk/bunny/bunny.html

The Lena Story - The Lena Story - http://www-2.cs.cmu.edu/~chuck/lennapg/lenna.shtmlhttp://www-2.cs.cmu.edu/~chuck/lennapg/lenna.shtml

A Brief History of The Teapot. - A Brief History of The Teapot. - http://http://www.sjbaker.orgwww.sjbaker.org/teapot//teapot/ PapersPapers

"Zippered Polygon Meshes from Range Images“ - "Zippered Polygon Meshes from Range Images“ - http://http://www.cc.gatech.edu/~turk/zipper/zipper.htmlwww.cc.gatech.edu/~turk/zipper/zipper.html

Famous Images in Famous Images in Computer Graphics & Computer Graphics &

Image ProcessingImage Processing

Sérgio Leal N.o 0230261Sérgio Leal N.o 0230261Erasmus student at:Erasmus student at:

Institute for Computer Graphics and Vision Institute for Computer Graphics and Vision Technical University of Graz Technical University of Graz

2002/20032002/2003mcamara@sbox.TUGraz.atmcamara@sbox.TUGraz.at