Project 2 Summary Project 3 Intro Cs195g Computational Photography James Hays, Brown University.

Slides:



Advertisements
Similar presentations
LEAF TOAD By David Gabel.
Advertisements

 WHAT IS THE DARKEST COLOUR IN YOUR REFERENCE? The first step in this drawing lesson is to sketch a basic outline using the darkest colour found in your.
Recap from Monday Frequency domain analytical tool computational shortcut compression tool.
Recap from Monday Fourier transform analytical tool computational shortcut.
The Heath Hen (Tympanachus cupido cupido). There are very few actual photographs of the Heath Hen because it went extinct in the 1930’s. (These are.
Blending and Compositing Computational Photography Derek Hoiem, University of Illinois 09/23/14.
Improved Image Quilting Jeremy Long David Mould. Introduction   Goal: improve “ minimum error boundary cut ”
© 2009 University of California, Irvine – André van der Hoek1June 15, 2015 – 14:29:37 Informatics 121 Software Design I Lecture 1 André van der Hoek and.
1 Learning to Detect Natural Image Boundaries David Martin, Charless Fowlkes, Jitendra Malik Computer Science Division University of California at Berkeley.
Computational Photography
15-463: Rendering and Image Processing Staff Prof: Alexei Efros TA: James Hays Web Page
Computer Vision (CSE 576) Staff Steve Seitz Rick Szeliski ( ) Ian Simon? (
Opportunities of Scale Computer Vision James Hays, Brown Many slides from James Hays, Alyosha Efros, and Derek Hoiem Graphic from Antonio Torralba.
Opportunities of Scale, Part 2 Computer Vision James Hays, Brown Many slides from James Hays, Alyosha Efros, and Derek Hoiem Graphic from Antonio Torralba.
Chapter 6 Color Image Processing Chapter 6 Color Image Processing.
Texas 4-H Photography Judging PRACTICE SET - #31 STILL LIFE The Photo classes in this Power Point are for you to try your judging skills. Select a class.
SBU Digital Media CSE 690 Internet Vision Organizational Meeting Tamara Berg Assistant Professor SUNY Stony Brook.
CS 1950-G Computational Photography Instructor: James Hays HTA: Patrick Doran UTA: Alex Collins.
By Jamie Monroe All About Dogs Dogs are my favorite animals. Dogs sometimes chase cats or birds. Dogs can be brown or many other colors. Dogs can be.
Internet-scale Imagery for Graphics and Vision James Hays cs195g Computational Photography Brown University, Spring 2010.
Library Science PPT Book Report Due September 25, 2013 Select and read a Fiction book (or another pre-approved selection) of your choice from our Media.
By Ryan M. Payne. This slideshow is just my opinion and I would love to read yours.
Point Processing (Szeliski 3.1) cs129: Computational Photography James Hays, Brown, Fall 2012 Some figures from Alexei Efros, Steve Seitz, and Gonzalez.
computer
Alexandre Buisse. Alexandre is a 27 year old commercial mountain photographer from Chamonix, in the heart of the French Alps. He grew up nearby in Lyon,
Some of the best books of  &mid= A23D2FC75CD A23D2FC75CD7.
Data-driven methods: Video & Texture Cs195g Computational Photography James Hays, Brown, Spring 2010 Many slides from Alexei Efros.
DCT cs195g: Computational Photography James Hays, Brown, Spring 2010 Somewhere in Cinque Terre, May 2005 Slides from Alexei Efros.
Previous lecture Texture Synthesis Texture Transfer + =
Image Warping and Morphing cs195g: Computational Photography James Hays, Brown, Spring 2010 © Alexey Tikhonov.
Copyright © 2014 by The University of Kansas Preparing Press Releases.
ART ART ART Mr. Erdmans. Applied & Visual Arts  Graphic Design  Photography  Drawing  Painting  Printmaking.
Modeling Light cs129: Computational Photography
My Book These images are grouped. You may find it easier to ungroup and work with them.
4th Grade Abstract Jacks seeing shape. Materials – paper to practice sketch – pencils – 12x18 black paper – oil pastels (fall colors) – crayons (fall.
Scene Completion Using Millions of Photographs James Hays, Alexei A. Efros Carnegie Mellon University ACM SIGGRAPH 2007.
Modern Boundary Detection II Computer Vision CS 143, Brown James Hays Many slides Michael Maire, Jitendra Malek Szeliski 4.2.
Physics 434 Welcome Leslie Rosenberg [prof] Scott Davis [TA] Thanks to Toby Burnett [prof] (for much of the course material) Jason Alferness [Equipment]
It’s nearly the weekend!. Calendar Fri., 9/5 Topic: Make Baby Activity Homework: Quiz on Monday Get out Calendar (yellow planner) Pencil Comp book Colors.
Preparing Press Releases. What’s a press release? A written summary or update to make the media aware of your activities.
Book report by Mrs. Theriault How can I create cool effects? Change the background: right click on the background of the slide. Click on the pull down.
Photoshop – Filters Computer Information Technology Section 7-9.
Sketch book design Expectations. Idea Generating Use journaling to create ideas. Using words expands ideas, allows you to collaborate with peers and transfer.
10-8 Permutations Vocabulary permutation factorial.
Taylor Estape.  Think about your favorite animated movie or T.V. show.  What method of animation was used to make it?
Chapter 3 Color Objectives Identify the color systems and resolution Clarify category of colors.
Photoshop – Filters Computer Information Technology Section 7-9.
Desktop Publishing Lesson 5 — Enhancing Publications.
Image from
Images were sourced from the following web sites: Slide 2:commons.wikimedia.org/wiki/File:BorromeanRing...commons.wikimedia.org/wiki/File:BorromeanRing...
CS 4501: Introduction to Computer Vision Sparse Feature Detectors: Harris Corner, Difference of Gaussian Connelly Barnes Slides from Jason Lawrence, Fei.
Area Between Two Curves
Lighting.
TRY these techniques for various effects
An Introduction to the Color Wheel and Color Theory
Plans for 2011 Steven James January 22, 2011
Project 3 Summary Project 4 Intro
Chin-Ya Huang Mon-Ju Wu
Monday, May 20th Choice Novels Spelling – due Thursday I am…Poem due!
Combining Sketch and Tone for Pencil Drawing Production
Data-driven methods: Texture 2 (Sz 10.5)
Point Processing cs195g: Computational Photography
Mrs. Simmons Class September Word Blending can at has ran
CSE 576 (Spring 2005): Computer Vision
SOMETIMES GOD SAYS NO.
Ms. Angela Pacheco TCHS Science Department
Color Image Processing
Harvest Still Life.
Presentation guidelines
Presentation transcript:

Project 2 Summary Project 3 Intro Cs195g Computational Photography James Hays, Brown University

Project 2 Class Choice Award Evan Wallace Prize: Circuitboard Coasters

Project 2 TA Choice Award Steven Gomez Prize: Demotivational Desktopper

Also Presenting Rudy Sandoval David Dufresne Ben Cohen Evan Donahue

More Highlights Image by Tristan Hale

More Highlights Image by Sam Potasznik

More Highlights Images by Pat Doran

More Highlights Image by Jason Pacheco

More Highlights Images by Lyn Fong

More Highlights Images by Travis Web

More Highlights Image by Eli Bosworth

More Highlights Image by Diane Huang

More Highlights Image by Ben Swanson

More Highlights Images by Basia Korel

More Highlights Image by Alex Collins

More Highlights Image by Ben Cohen

More Highlights Image by Steven Gomez

More Highlights Image by Rudy Sandoval

More Highlights Image by Evan Donahue

More Highlights Image by Evan Wallace

More Highlights Image by David Dufresne

What did we learn about blending?

The colors along the boundaries cannot be drastically different: Images by Lyn Fong

What did we learn about blending? Texture differences still show through Image by Diane Huang

What did we learn about blending? Although sometimes blending still nearly works Images by Diane Huang

Project 3: Don’t Blend, Cut!

Final Reminder Read Szeliski’s book!

Feedback: Privacy Policy Feedback
Do Not Sell My Personal Information
About project: SlidePlayer Terms of Service

© 2025 SlidePlayer.com. Inc. All rights reserved.