'Image pyramid' presentation slideshows

Wavelets ?

Wavelets ?. Raghu Machiraju Contributions: Robert Moorhead, James Fowler, David Thompson, Mississippi State University Ioannis Kakadaris, U of Houston. Simulations, scanners. State-Of-Affairs. Concurrent. Presentation. Retrospective. Analysis. Representation. Why Wavelets?

903 views • 69 slides

Templates and Image Pyramids

09/05/13. Templates and Image Pyramids. Computational Photography Derek Hoiem, University of Illinois. Administrative stuff. Start working on project 1 (due Sept 16) Make sure you can get a project page up Can now complete first part (hybrid images ) Matlab /algebra tutorial

670 views • 45 slides

Tom Barclay Jim Gray, Don Slutz, Greg Smith, many others Microsoft Research

SPIN-2. Tom Barclay Jim Gray, Don Slutz, Greg Smith, many others Microsoft Research. Scaleup - Big Database. Build a 1 TB SQL Server database Data must be 1 TB Unencumbered Interesting to everyone everywhere And not offensive to anyone anywhere Loaded

615 views • 36 slides

Computer Vision: Summary and Discussion

05/03/2011. Computer Vision: Summary and Discussion. Computer Vision CS 543 / ECE 549 University of Illinois Derek Hoiem. Announcements. Today is last day of regular class ? Poster session next Tuesday Reports due by Wed at noon Derek and Ian out of town Wed afternoon through Friday

421 views • 28 slides

Computer Vision: Summary and Discussion

287 views • 28 slides

Face Detection and Gender Recognition

Face Detection and Gender Recognition. EE368 Project Report Michael Bax Chunlei Liu Ping Li 28 May 2003. Colour Spaces. RGB Colour-Space Histograms. HSV Colour-Space Histograms. Empirical PDF Approximation. Pixel Classification Error (RGB). Pixel Classification Error (HSV). Input Image.

732 views • 27 slides

Computer Vision

391 views • 22 slides

Augmented Reality and 3D modelling

Augmented Reality and 3D modelling. Done by Stafford Joemat Supervised by Mr James Connan. Project Overview. Marker-based Augmented Reality uses a camera and a visual marker to determine the center of orientation and range of its coordinate system.

295 views • 15 slides

Convolution

Convolution. Convolution Properties. Commutative: f*g = g*f Associative: (f*g)*h = f*(g*h) Homogeneous : f*( ? g)= ? f*g Additive (Distributive): f*(g+h)= f*g+f*h Shift-Invariant f*g(x-x0,y-yo)= (f*g) (x-x0,y-yo). The Convolution Theorem. and similarly:. *. Examples.

232 views • 14 slides

Making Panoramas

265 views • 12 slides

Making Panoramas

135 views • 12 slides

? = 1.0 k? = 1.26

224 views • 5 slides