Famous Images in Computer Graphics & Image Processing Sérgio Leal N.o 0230261 Erasmus student at: Institute for Computer Graphics and Vision Technical.

Slides:



Advertisements
Similar presentations
16.1 Si23_03 SI23 Introduction to Computer Graphics Lecture 16 – Some Special Rendering Effects.
Advertisements

Computer Graphics … how renderings are done on a computer. Art 321 Dr. J Parker Winter.
M. Belkin and P. Niyogi, Neural Computation, pp. 1373–1396, 2003.
HCI/ComS 575X: Computational Perception Instructor: Alexander Stoytchev
Multi resolution Texture Synthesis on Surfaces Arul Prakash Lavanya Tekumalla.
Computer Vision Spring ,-685 Instructor: S. Narasimhan Wean 5403 T-R 3:00pm – 4:20pm Lecture #17.
1 Computer Graphics Chapter 9 Rendering. [9]-2RM Rendering Three dimensional object rendering is the set of collective processes which make the object.
Shadow and Shadow Maps [5]. Object without shadow seem floating above the scene Shadow gives the depth information Shadow gives the information of the.
CSE325 Computer Science and Sculpture Prof. George Hart.
Cloud Gate aka “The Bean” Learning about the reflective properties of one of Millenium Park’s most famous attractions.
HCI/ComS 575X: Computational Perception Instructor: Alexander Stoytchev
CS6500 Adv. Computer Graphics © Chun-Fa Chang, Spring 2003 Object-Order vs. Screen-Order Rendering April 24, 2003.
Computer Graphics (Fall 2005) COMS 4160, Lecture 16: Illumination and Shading 1
Filling Holes in Complex Surfaces using Volumetric Diffusion James Davis, Stephen Marschner, Matt Garr, Marc Levoy Stanford University First International.
X86 and 3D graphics. Quick Intro to 3D Graphics Glossary: –Vertex – point in 3D space –Triangle – 3 connected vertices –Object – list of triangles that.
 Marc Levoy History of computer graphics CS Introduction to Computer Graphics Autumn quarter, 2004 Slides for September 28 lecture.
Visibility-Guided Simplification Eugene Zhang and Greg Turk GVU Center, College of Computing Georgia Institute of Technology.
 Marc Levoy History of computer graphics CS Introduction to Computer Graphics Autumn quarter, 2006 Slides for September 26 lecture.
 Marc Levoy History of computer graphics CS Introduction to Computer Graphics Autumn quarter, 2003 Slides for September 25 lecture.
 Marc Levoy IBM / IBR “The study of image-based modeling and rendering is the study of sampled representations of geometry.”
 Marc Levoy History of computer graphics CS Introduction to Computer Graphics Autumn quarter, 2001 Slides for September 27 lecture.
Modelling Realistic Water & Fire Sérgio Leal Socrates/Erasmus student at: AK Computer Graphics Institute for Computer Graphics and Vision Technical University.
3-D RENDERING Peter Moore Jackson Cwach. What 3-D Rendering is 3D rendering is the 3D computer graphics process of automatically converting 3D wire frame.
Erdem Alpay Ala Nawaiseh. Why Shadows? Real world has shadows More control of the game’s feel  dramatic effects  spooky effects Without shadows the.
Spatial data models (types)
Computer Graphics An Introduction. Computer Graphics 26/9/2008Lecture 12 What’s this course all about? We will cover… Graphics programming and algorithms.
Getting started © juhanita2015.
Unit 30 P1 – Hardware & Software Required For Use In Digital Graphics
Copyright © 2008 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Chapter 10: Computer Graphics Computer Science: An Overview Tenth Edition.
Technology and Historical Overview. Introduction to 3d Computer Graphics  3D computer graphics is the science, study, and method of projecting a mathematical.
Chapter 10: Computer Graphics
Copyright © 2008 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Chapter 10: Computer Graphics Computer Science: An Overview Tenth Edition.
Introducing To 3D Modeling George Atanasov Telerik Corporation
Image-Based Rendering. 3D Scene = Shape + Shading Source: Leonard mcMillan, UNC-CH.
Computer Graphics An Introduction. What’s this course all about? 06/10/2015 Lecture 1 2 We will cover… Graphics programming and algorithms Graphics data.
Presented By Greg Gire Advised By Zoë Wood California Polytechnic State University.
Reporter: Zhonggui Chen
Object Representation Rama C Hoetzlein, 2010 Univ. of California Santa Barbara Lecture Notes.
Stylization and Abstraction of Photographs Doug Decarlo and Anthony Santella.
Game Programming 06 The Rendering Engine
Introduction to Computer Graphics: Object Representation Rama C Hoetzlein, 2010 Univ. of California Santa Barbara Lecture Notes.
Elements of Art Picture Quiz! High school D Drawing Christian Rasmussen To Elements of Art.
Computer Graphics Basic 3D Geometry CO2409 Computer Graphics Week 5-1.
Interreflections : The Inverse Problem Lecture #12 Thanks to Shree Nayar, Seitz et al, Levoy et al, David Kriegman.
09/16/03CS679 - Fall Copyright Univ. of Wisconsin Last Time Environment mapping Light mapping Project Goals for Stage 1.
Images.  Images include graphics, such as backgrounds, color schemes and navigation bars, and photos and other illustrations  An essential part of a.
Computer Graphics Laboratory, Hiroshima City University All images are compressed. The images in this file is not the original.
ALGORITHMS FOR POLYGON REDUCTION Author: Ing. Roman Schulz FIT VUT, 2008.
1 Perception and VR MONT 104S, Fall 2008 Lecture 20 Computer Graphics and VR.
Rendering Large Models (in real time)
Copyright © Curt Hill Meshes A Little More to Know.
1 Introduction to Computer Graphics with WebGL Ed Angel Professor Emeritus of Computer Science Founding Director, Arts, Research, Technology and Science.
Revision Sheet Computer Graphics and Human Interaction By Dr. HANY ELSALAMONY1.
Computer Graphics (Fall 2004) COMS 4160, Lecture 25: Summary and Preview
Computer Graphics (Fall 2006) COMS 4160, Lecture 16: Illumination and Shading 1
1 Real-Time High-Quality View-dependent Texture Mapping using Per-Pixel Visibility Damien Porquet Jean-Michel Dischler Djamchid Ghazanfarpour MSI Laboratory,
Chapter 10: Computer Graphics
Computer Graphics.
Photorealistic Rendering vs. Interactive 3D Graphics
How to Convert Pictures into Numbers
POLYGON MESH Advance Computer Graphics
Image-Based Rendering
3D Graphics Rendering PPT By Ricardo Veguilla.
Introduction to Computer Graphics with WebGL
Chapter 14 Shading Models.
History of computer graphics
3D Modeling & Augmented Reality S3(3) 匠印社 3D JOLLYFAB.
2.02A History of Animation 2.02 Develop Computer Animations.
Chapter 14 Shading Models.
All images are compressed.
Presentation transcript:

Famous Images in Computer Graphics & Image Processing Sérgio Leal N.o Erasmus student at: Institute for Computer Graphics and Vision Technical University of Graz

Introduction Stanford’s Bunny Stanford’s Bunny Lena Lena The teapot The teapot

Why? Why the same images are always used ? Why the same images are always used ? Which properties have this images that make them special ? Which properties have this images that make them special ? Which properties should candidate images have ? Which properties should candidate images have ?

Stanford’s Bunny Created by Greg Turk and Marc Levoy. Created by Greg Turk and Marc Levoy. Developed to create polygonal models from several range scans. Developed to create polygonal models from several range scans.

Stanford’s Bunny Original paper – Original paper – "Zippered Polygon Meshes from Range Images" Greg Turk and Marc Levoy Siggraph 94, pp On-line version of paper available

Why Stanford’s Bunny? Fairly smooth, Fairly smooth, Has manifold connectivity, Has manifold connectivity, Original was red and diffuse Original was red and diffuse Not complex (69,451 triangles). Not complex (69,451 triangles).

Stanford’s Bunny Curiosities Chosen by chance at Easter time on a shop Chosen by chance at Easter time on a shop Made of terra cota Made of terra cota Original still lives at Stanford Original still lives at Stanford No bottom No bottom

Lena or Lenna Widely used standard test images Widely used standard test images Used for compression algorithms Used for compression algorithms Swedish woman named Lena Sjooblom Swedish woman named Lena Sjooblom Digitized from Playboy centerfold, from November Digitized from Playboy centerfold, from November 1972.

Lena or Lenna Digitized at the University of Southern California as one of many possible images for use by the research community. Digitized at the University of Southern California as one of many possible images for use by the research community. Other examples Other examples

Lena or Lenna Unhappy people about the source Unhappy people about the source Some controversy Some controversy Degrading to women Degrading to women Playboy’s copyrights Playboy’s copyrights

Why Lena? Shading, Shading, Texture, Texture, Flat regions, Flat regions, Nice mixture of detail, Nice mixture of detail, Good for testing various image processing algorithms. Good for testing various image processing algorithms. The Lena image is a picture of an attractive woman. The Lena image is a picture of an attractive woman.

Lena curiosities Married and lives in south Stockholm Married and lives in south Stockholm The image appeared in the movie Sleeper The image appeared in the movie Sleeper Didn’t know how famous her picture was Didn’t know how famous her picture was

Lena curiosities Made her first public appearance in 1997 at the 50th Annual Conference of the Society for Imaging Science in Technology Made her first public appearance in 1997 at the 50th Annual Conference of the Society for Imaging Science in Technology Nowadays helps handicapped people work on (non-networked) computers Nowadays helps handicapped people work on (non-networked) computers

The teapot Done by Martin Newell Done by Martin Newell Suggested by his wife Suggested by his wife Due to lack of computer models Due to lack of computer models Also digitized a spoon and a cup and saucer. Also digitized a spoon and a cup and saucer.

The teapot The original teapot is about 30% taller The original teapot is about 30% taller Jim Blinn, to make the model conform to the pixel raster, squashed the model instead of scaling the image. Jim Blinn, to make the model conform to the pixel raster, squashed the model instead of scaling the image.

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 space Few storage space

The teapot curiosities The original is at Ephemera collection of the Computer History Museum

The teapot curiosities The original teapot data has no bottom. The original teapot data has no bottom. Martin Newell at SIGGRAPH in middle 80 regretted that from all the work he had done, the only thing he will be remembered for is "That Damned Teapot". Martin Newell at SIGGRAPH in middle 80 regretted that from all the work he had done, the only thing he will be remembered for is "That Damned Teapot". Rumours say that the early computer graphics pioneers could type the teapot by memory Rumours say that the early computer graphics pioneers could type the teapot by memory

Conclusion Usually chosen by chance Usually chosen by chance After characteristic noticed After characteristic noticed Gain a sentimental value Gain a sentimental value No special selection algorithm No special selection algorithm Keep trying new ones Keep trying new ones

References University of Southern California image database: University of Southern California image database: Girl - Girl - Couple - Couple - House - House - Tree - Tree - Lena - Lena - Other images Other images Gold teapot - Gold teapot - Original teapot - Original teapot Rendered teapot - Rendered teapot Real museum - Real museum Stanford bunny images – by Peter Lindstrom et al. well documented at - Stanford bunny images – by Peter Lindstrom et al. well documented at Lena art images – Lena art images – Actual Lena - Actual Lena Lena „pointy“ - Lena „pointy“ Webpages : Webpages : Stanford bunny story - Stanford bunny story The Lena Story - The Lena Story - A Brief History of The Teapot. - A Brief History of The Teapot. - Papers Papers "Zippered Polygon Meshes from Range Images“ - "Zippered Polygon Meshes from Range Images“ -

Famous Images in Computer Graphics & Image Processing Sérgio Leal N.o Erasmus student at: Institute for Computer Graphics and Vision Technical University of Graz