DaEndlessMarkerTracking

Chair for Computer Aided Medical Procedures & Augmented Reality
Lehrstuhl für Informatikanwendungen in der Medizin & Augmented Reality

Endless Marker Tracking

Type: DA/MA/BA
Advisor: Gudrun Klinker
Supervision by: Christian Waechter and Manuel Huber

Abstract

In the scenario of a wide area tracking (usually larger than 5x5 square meters) the classic marker tracking approach to determine a cameras' pose is limited by the size of the markers and the registration process of these within the large area. Following the ruler principle a new binary marker shall be designend to overcome these shortcomings. Therefore algorithms in marker detection, registration and pose determination must be programmed and evaluated. The marker should consist of repetitive patterns providing relative information about the cameras' pose in relation to the complete marker.

  • Example of a possible Endless Marker showing a part of the basic marker with one sequence enlarged :
    Marker Example

Tasks

  • Designing the marker
    • Choose type of binary encoding
    • Design of start and ending sequences
    • Marker sequence identification code
  • Marker Tracking algorithm
    • Marker detection
    • Marker identification
    • Pose determination
    • (Improving robustness and security of tracking)
  • Evaluation

Requirements

Basic knowledge of C++ required. Knowledge of OpenCv is auxiliary. The thesis can be conducted in English or German.

Information and Literature


ProjectForm
Title: Endless Marker Tracking
Abstract: In the scenario of a wide area tracking (usually larger than 5x5 square meters) the classic marker tracking approach to determine a cameras' pose is limited by the size of the markers and the registration process of these within the large area. Following the ruler principle a new binary marker shall be designend to overcome these shortcomings. Therefore algorithms in marker detection, registration and pose determination must be programmed and evaluated. The marker should consist of repetitive patterns providing relative information about the cameras' pose in relation to the complete marker.
Student: Yasir Latif
Director: Gudrun Klinker
Supervisor: Christian Waechter and Manuel Huber
Type: Hiwi
Area: Industrial Augmented Reality
Status: finished
Start: 2009/05/01
Finish: 2009/07/31


Edit | Attach | Refresh | Diffs | More | Revision r1.9 - 16 Dec 2009 - 08:44 - ChristianWaechter