Computer Vision (CSE 455) Staff Web Page Handouts

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Presentation transcript:

Computer Vision (CSE 455) Staff Web Page Handouts Prof: Steve Seitz (seitz@cs ) TAs: Dan Goldman (dgoldman@cs), Terri Moore (tamoore@cs) Web Page http://www.cs.washington.edu/education/courses/cse455/04wi/ Handouts course info signup sheet questionnaire

Today Overview of Computer Vision Overview of Course Image Filtering Readings for this week (both in reader) Forsyth & Ponce, chapters 8.1-8.2 Intelligent Scissors

Every picture tells a story Goal of computer vision is to write computer programs that can interpret images

Can computers match human perception? Not yet computer vision is still no match for human perception but catching up, particularly in certain areas

Perception

Perception

Perception

Low level processing Low level operations Image enhancement, feature detection, region segmentation

Mid level processing Mid level operations 3D shape reconstruction, motion estimation

High level processing High level operations Recognition of people, places, events

Application: Document Analysis Digit recognition, AT&T labs http://www.research.att.com/~yann/

Applications: 3D Scanning Scanning Michelangelo’s “The David” The Digital Michelangelo Project - http://graphics.stanford.edu/projects/mich/ UW Prof. Brian Curless, collaborator 2 BILLION polygons, accuracy to .29mm

Applications: Motion Capture, Games

Application: Medical Imaging

Applications: Robotics

Project 1: Intelligent Scissors

Project 2: Panorama Stitching http://www.cs.washington.edu/education/courses/455/03wi/projects/project2/artifacts/crosetti/index.shtml

Project 3: 3D Shape Reconstruction

Project 4: Face Recognition

Class Webpage http://www.cs.washington.edu/education/courses/cse455/04wi/

Grading Programming Projects (70%) Midterm (15%) Final (15%) image scissors panoramas 3D shape modeling face recognition Midterm (15%) Final (15%)

General Comments Prerequisites—these are essential! Data structures (CSE 326) A good working knowledge of C and C++ programming (or willingness/time to pick it up quickly!) Linear algebra Vector calculus Course does not assume prior imaging experience computer vision, image processing, graphics, etc. Emphasis on programming projects!