'Image motion' 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

1.7k views • 116 slides

997 views • 77 slides

Claire Max Astro 289, UC Santa Cruz February 5, 2013

583 views • 49 slides

TP15 - Tracking

TP15 - Tracking. Computer Vision, FCUP , 2013 Miguel Coimbra Slides by Prof. Kristen Grauman. Outline. Today: Tracking Tracking as inference Linear models of dynamics Kalman filters General challenges in tracking. Tracking: some applications. Body pose tracking, activity recognition.

496 views • 49 slides

476 views • 32 slides

Propagation of Light Through Atmospheric Turbulence Lecture 6, ASTR 289

Propagation of Light Through Atmospheric Turbulence Lecture 6, ASTR 289. Claire Max UC Santa Cruz January 24, 2013. What is typical timescale for flow across distance r 0 ?. Note: previous version had math errors.

404 views • 31 slides

Optical Flow

Optical Flow. Digital Photography CSE558, Spring 2003 Richard Szeliski (notes cribbed from P. Anandan). Classes of Techniques. Feature-based methods Extract salient visual features (corners, textured areas) and track them over multiple frames

293 views • 28 slides

Image Quality Status

Image Quality Status. SCTF Presentation: 8 Sept 2010. Eric Becklin. Outline. Summary of components for image size Units used to measure image size Details of units (equations) Values from past knowledge and TACFL flights Comparison to FORCAST Images Comparison to Requirements

292 views • 28 slides

Optical Snow and the Aperture Problem

Optical Snow and the Aperture Problem. Michael Langer Richard Mann School of Computer Science School of Computer Science McGill U. U. Waterloo. Optical snow. e.g. falling snow. Optical snow. Optical snow.

338 views • 23 slides

Mark Clampin (GSFC) John Stansberry (STScI)

Mark Clampin (GSFC) John Stansberry (STScI). JWST Operations. JWST Observatory Status. Image Quality. 150 nm @ NIRCam focal plane: 2 m m diffraction limit Note: performance specified to short wavelength cameras WFE budget contributors include:

403 views • 23 slides

AIBO Camera Stabilization

AIBO Camera Stabilization. Tom Stepleton Ethan Tira-Thompson 16-720, Fall 2003. AIBO vision is bumpy. Legged locomotion induces vibration. Head (camera mount) is a great big cantilevered mass. Camera problems: the lineup. Obvious problems due to exposure time/cheap optics:. Smear.

314 views • 21 slides

Algorithm For Image Flow Extraction- Using The Frequency Domain

330 views • 20 slides

Visualization and Fusion

Visualization and Fusion. Craig Scott, Aisha Page, Olusanya Soyannwo, Hamzat Kassim Paul Blackmon, Pierre Knight, Francis Dada Engineering Visualization Laboratory. Outline. Overview Image/Spatial Fusion Motion detection and object tracking Synthetic Battlespace Conclusion. Overview.

370 views • 20 slides

Extensible Markov Model

302 views • 18 slides

Measuring image motion

251 views • 15 slides

Synthetically Distorted Image Restoration

152 views • 15 slides

Structure

Structure. Kenneth Nordsieck University of Wisconsin. Interface/ constraints Loads Structure design rationale Truss Weight and CG Finite Element Analysis/ Image motion Risks and concerns. Interface. Straight-thru focus position 1.5m long x 3m diam cylinder nominal envelope

268 views • 12 slides

Image Motion

Image Motion. Stephen Smee smee@jhu.edu (410) 516-7097. Instrument Flexure. Goals Determine the image motion and defocue under a 1g load for a 15 deg. rotation of the rotator Modeling strategy Model vessel flexure, dewar sag, and camera module sag

238 views • 10 slides

Abstract

78 views • 1 slides