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Geometric Computing and Visualization 2D 1428 Datorgeometri och visualiseringLecturer: Stefan Carlsson

Geometric Computing and Visualization 2D 1428 Datorgeometri och visualisering

Lecturer: Stefan Carlsson

Overview

Examination: 1. 3D visualization lab 2. Written examination Contents: Geometrical and mathematical foundations for image based visualization Prerequisites: Basic linear algebra and statistics

Courses in Image Analysis and Computer vision

Image(s) feature extraction visualization recognition Image analysis and computer vision Geometric computing and visualisation Image based recognition and classification

From images to features to 3D and rendering Image(s)

feature extraction visualization rendering

Obtaining the picture

1670 1860 2000

2D Image projection from 3D object

Triangulation from 2D to 3D

Camera calibration and 3D reconstruction from multiple image views

Uncalibrated motion capture

Triple Jump Example

Markerless motion capture

3D from single view

3D from single view

3D from single view

3D from single view

3D based identification

Recognition: % correct 30 landmarks 3115 faces

0 99.57 1 99.46 2 97.97 3 98.75 4 98.36 5 98.15 6 97.72 7 97.57 8 95.81 95.28 94.84 No.missing points Recognition

Showing 1 - 20 of 46 items Details

Name: 
Datorgeometri_intro
Author: 
Martin Eriksson
Company: 
KTH
Description: 
Geometric Computing and Visualization 2D 1428 Datorgeometri och visualiseringLecturer: Stefan Carlsson
Tags: 
imag | camera | equat | multipl | object | singl | visual | reconstruct
Created: 
7/16/2004 6:15:55 AM
Slides: 
46
Views: 
9
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6
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