'Affine' presentation slideshows

Motion estimation

Motion estimation. Introduction to Computer Vision CS223B, Winter 2005 Richard Szeliski. Why Visual Motion?. Visual Motion can be annoying Camera instabilities, jitter Measure it. Remove it. Visual Motion indicates dynamics in the scene Moving objects, behavior

2.2k views • 116 slides

Embedded Systems and Software

1.14k views • 95 slides

Lecture 12 Image features

1.08k views • 88 slides

Overview

Overview. Introduction to local features Harris interest points + SSD, ZNCC, SIFT Scale & affine invariant interest point detectors Evaluation and comparison of different detectors Region descriptors and their performance . Scale invariance - motivation.

822 views • 70 slides

Beyond Shared Memory Loop Parallelism in the Polyhedral Model

Beyond Shared Memory Loop Parallelism in the Polyhedral Model. Tomofumi Yuki Ph.D Dissertation 10/30 2012. The Problem. Figure from www.spiral.net/problem.html. Parallel Processing. A small niche in the past, hot topic today Ultimate Solution: Automatic Parallelization

689 views • 50 slides

Structure from motion

Structure from motion. Multiple-view geometry questions. Scene geometry (structure): Given 2D point matches in two or more images, where are the corresponding points in 3D?

716 views • 41 slides

Feature matching and tracking Class 5

641 views • 40 slides

Chapter 9: Cross-linked polymers and rubber elasticity

2.56k views • 35 slides

Augmented Reality : Object Tracking and Active Appearance Model

Augmented Reality : Object Tracking and Active Appearance Model. Presented by Pat Chan 01/03/2005 Group Meeting. Outline. Introduction to Augmented Reality Object Tracking Active Appearance Model (AAM) Object Tracking with AAM Future Direction Conclusion. Introduction.

512 views • 32 slides

Blob detection

Blob detection. Achieving scale covariance. Goal: independently detect corresponding regions in scaled versions of the same image Need scale selection mechanism for finding characteristic region size that is covariant with the image transformation. Recall: Edge detection. Edge. f.

562 views • 31 slides

Two-view geometry

454 views • 30 slides

Venkatesan Guruswami Prasad Raghavendra

Constraint Satisfaction over a Non-Boolean Domain Approximation Algorithms and Unique Games Hardness. Venkatesan Guruswami Prasad Raghavendra. University of Washington Seattle, WA. Constraint Satisfaction Problem A Classic Example : Max-3-SAT. Given a 3-SAT formula,

420 views • 27 slides

Invariants

Invariants. Definitions and Invariants. A definition of a class means that given a list of properties: For all props, all objects have that prop. No other objects have all properties Invariant is an image property that: For some objects, property is true for all images.

487 views • 23 slides

Multiple Camera Object Tracking

Multiple Camera Object Tracking. Helmy Eltoukhy and Khaled Salama. Outline. Introduction Point Correspondence between multiple cameras Robust Object Tracking Camera Communication and decision making Results. Object Tracking.

449 views • 21 slides

Simulating the Response of Fibrous Scaffolds for Tissue Engineering

Simulating the Response of Fibrous Scaffolds for Tissue Engineering. Peter M. Anderson Department of Materials Science and Engineering The Ohio State University Collaborators: Harshad Paranjape, Yanyi Zhu, Gregory Ebersole Heather Powell, Jianjun Guan, Gunjan Agarwal, Samir Ghadiali

404 views • 21 slides

Image alignment

Image alignment. Image from http://graphics.cs.cmu.edu/courses/15-463/2010_fall/. A look into the past. http://blog.flickr.net/en/2010/01/27/a-look-into-the-past/. A look into the past. Leningrad during the blockade. http://komen-dant.livejournal.com/345684.html. Bing streetside images.

370 views • 20 slides

Geometric Transformations

Geometric Transformations. CSE 455 Ali Farhadi. Many slides from Steve Seitz and Larry Zitnick. What are geometric transformations?. Translation. Preserves: Orientation. Translation and rotation. Scale. Similarity transformations.

277 views • 15 slides

Geometric Transformations

Geometric Transformations. CSE P 576 Larry Zitnick (larryz@microsoft.com). What are geometric transformations?. Translation. Translation and rotation. Scale. Similarity transformations. Similarity transform (4 DoF ) = translation + rotation + scale. Aspect ratio. Shear.

276 views • 15 slides

Optimal Power Flow in Direct Current Networks

Optimal Power Flow in Direct Current Networks. Lingwen Gan, Steven Low California Institute of Technology. O ptimal power flow (OPF). What is OPF?. Schedule power plants, minimize electricity cost. I s OPF important?. Solved every 15 minutes, u nderlies power system operation.

613 views • 12 slides

An Expert System for Solving Simple Cryptograms

An Expert System for Solving Simple Cryptograms. Carolyn Rucci Dr. Ralph Morelli 1 year project. Overview. Goal Background information What is an Expert System My Expert System - CipherExpert How does CipherExpert Work? Extensibility Results from testing Caesar Cipher. Cipher?.

191 views • 10 slides