'3d data' diaporamas de présentation

Transformations IV Week 3, Mon Jan 22

http://www.ugrad.cs.ubc.ca/~cs314/Vjan2007. Transformations IV Week 3, Mon Jan 22. Readings for Jan 15-22. FCG Chap 6 Transformation Matrices except 6.1.6, 6.3.1 FCG Sect 13.3 Scene Graphs RB Chap Viewing Viewing and Modeling Transforms until Viewing Transformations

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938 views • 61 slides

Image Morphing, Triangulation CSE399b, Spring 07 Computer Vision

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548 views • 34 slides

3D Mapping and OpenRDK

DISAM-UPM. 3D Mapping and OpenRDK. Paloma de la Puente - paloma.delapuente@upm.es http://intelligentcontrol.es/paloma OpenRDK Workshop Rome, March 16 th -19 th 2009. Outline of the presentation. Introduction

470 views • 34 slides

Appraisal of 3D Data Conversions and Visualization Software Packages

Appraisal of 3D Data Conversions and Visualization Software Packages. Peter Bajcsy, PhD - Research Scientist, NCSA - Adjunct Assistant Professor ECE & CS at UIUC - Senior Associate Director Center for Humanities, Social Sciences and Arts (CHASS), Illinois Informatics Institute (I3), UIUC.

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Design Entry: Schematic Capture and VHDL

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Contents

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Image Warping and Morphing

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Image reconstruction in PET

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High-Speed High-Density Data Acquisition in Airborne Laser Scanning Applications

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Evaluating body posture and ball trajectory to determine fastpitch softball pitch types

Alyssa Wolejko Advisor: Nick Webb. Evaluating body posture and ball trajectory to determine fastpitch softball pitch types . How do we distinguish differences?. Terminology: A pitching motion is a single pitch thrown by a pitcher Each pitch type has distinguishable features

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Photo Interpretation (Visual)

Photo Interpretation (Visual). Overview. Data that can be derived from Aerial Photo Photo interpretation (Visual) Difference Examples of Difference Interpretive elements 3D Types of interpretation Guides to interpretation Summary of Photo Interpretation.

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Junior Cricket Practice Analysis System

Junior Cricket Practice Analysis System. Kearan Mc Pherson Mr. J. Connan. Overview. Introduction Design Decisions Implementation Project Plan Demo. Introduction. Record ball bowled Track the ball Methods Interpret the results. Design Decisions. User Interface Specification.

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Three-Dimensional Template Correlation: Object Recognition in 3D Voxel Data

BOSTON. UNIVERSITY. Three-Dimensional Template Correlation: Object Recognition in 3D Voxel Data. Tom VanCourt Boston University Yongfeng Gu ECE Department Martin Herbordt CAAD lab www.bu.edu/caadlab. 3D Template Matching. Increasing use of volumetric data sets

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Introduction to VE-Suite

Gerrick Bivins Research Scientist Iowa State University. Introduction to VE-Suite. Before we get started:. Downloads: VE-Suite and dependencies www.vrac.iastate.edu/~biv/unofficial_installs/ves_9745_win32 Demos for today:

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Handling 3D Data in the Virtual Observatory

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Why a bitmap (.bmp), not a .jpg? If you cannot save a .bmp, make it an uncompressed .tif.

Compression (of this 8-bit 397,000 pixel image): none (397kb memory) medium (12kb) high (5kb). Why a bitmap (.bmp), not a .jpg? If you cannot save a .bmp, make it an uncompressed .tif. .jpg. .jpg. .bmp. The digital bit map. z.

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NGI Combustion Application

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Deconvolution of 3D data cubes

Deconvolution of 3D data cubes. Task manager : Pierre Ferruit (CRAL). Spatial deconvolution of 3D data cubes. Goal : provide a user-friendly tool to spatially deconvolve 3D data cubes Classical Lucy-Richardson algorithm slightly adapted for 3D data

212 views • 6 slides