Project ID:2013w03
Year:2013
Students:Ram Bracha , Elad Ben Simhon
Supervisor:Appleboim Eli
Downloads:

(Link to project documentation folder to be placed here)

Parallel Tracking and Mapping with Mobile Devices

Introduction

Tracking algorithms-Tracking an hand-held camera by estimating it’s pose in a small Workspace environment.

There are two main approaches

  • Tracking while operate with prior knowledge of the environment (some form of a map, CAD Model, etc.)
  • Extensible tracking – Tracking in scenes without any prior knowledge. Simultaneous localization and mapping

 

PTAM

  • Tracking a calibrated camera in an unknown scene while building a map of it’s environment. Splitting tracking and mapping into two separate tasks, processed in parallel
  • Require fast, accurate and robust camera tracking for Real Time purposes
  • A 3D model will be assembled from point features

 

Problem

The robustness of these systems to rapid camera motions still lags behind that of tracking systems which use known object models.

Solution

  • Add edge features to e map and exploit their resilience to motion blur to improve tracking under fast motion
  • Keep a rough estimate of the motion in order to calculate each edgelet response under blur

 

2013w3-1

 

Results

2013w3-2

 

 

2013w3-3

Future works

  • Integrate with PTAMM project in order to reduce computation time
  • Insert occlusion detecting
  • Code organizing + Parallel computing and adjusting to windows/mobile phone