ViBot | Erasmus Mundus Master | Computer Vision and Robotics
 
 
Erasmus Mundus Master
Master in Computer Vision & Robotics                
 
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Malik Arsalan Malik Arsalan
arsalan92@yahoo.com   Malik Arsalan - CV   Malik Arsalan - Webpage
Project:
A Simulation of Automatic 3D Acquisition and Post-processing Pipeline Thesis Malik Arsalan - Thesis
 
Supervisor:
Ralph Seulin
 
Host University:
Laboratoire Le2i, IUT Le Creusot, France
 
Personal introduction top

My name is Arsalan. I am from great city of Lahore, the heart of Pakistan. I completed Bachelors of Computer Science from National University of Computer and Emerging Science (NUCES) in 2004. NUCES is the leading  and most reputed university in Pakistan in Computer Science discipline. I  worked as Software Engineer for 2+ years (both as Team Lead and member). I have experience working on various platforms including Windows, Linux, MSP, ATMEL, Tensilica Xtansa and ARM7. I am familiar with OpenGL, VTK, GIS, Real Time systems, Audio/Video codec, Network Streaming, Network Security, Smartcards and 3D scanners.

Recently I, completed European Masters in Computer Vision and Robotics (VIBOT). Below are the details of my final thesis.  My areas of interest are Computer Vision, Virtual and Augmented Reality and Computer Graphics applications.

 
Project Description and Objectives top

The 3D models are used in many applications such as computer games, movies, medical, training simulators, augmented reality, archaeology and industrial inspection. The 3D models can be artificially generated using any off-the-shelf modeling software such as Autodesk Maya. The artificial 3D models are sufficient for most of the entertainment industry such as computer games or movies. However, most of the applications such as archaeology or industrial inspection demand true representation of the real complex objects. The true representation of the real complex objects can be achieved by measuring real shape and photometric properties using computer vision techniques. This process involves several steps which require manual operations as well as technical skills. In addition to time required for manual operations, the processing time for large amount of data is considerable. Automating the 3D digitization process can improve efficiency and quality; while reducing operator skills and cost at the same time. Presently there is no fully automatic system available, although some semi-automatic systems have been developed.

The 3D digitization process can be divided into two general steps, i.e. Acquisition and Post-processing. The acquisition system generally comprises a 3D scanner mounted on a positioning system. The post-processing step includes registration, merging, hole-filling, cleaning and photometric and environment mapping. The automation of acquisition process requires automatic path or view planning in the presence of number of constraints with regard to the positioning system and the scanner. The automation of post-processing needs automation of registration, merging, hole-filling and cleaning etc. There are many efficient commercial solutions available for the automation of most of the post-processing steps, such as RapidForm from INUS Technologies. However, there is no commercial solution available for the automation of 3D acquisition process.

The crux of automatic acquisition is the automatic view planning. The view planning has no or little a-prior knowledge about the shape of the object to be digitized most of the time. However, some times view planning may have a complete or rough model of the object to be digitized. There is limited number of views available subject to the positioning system
involved. The purpose of this project is to study and implement methods for 3D acquisition and post processing to automatically generate 3D models. Work concerns view planning problem, views registration, merging, holes filling etc.

 
Scientific Approach top
The entire 3D acquisition and post-processing pipeline is simulated for a baseline LASER Line scanner and a 6 DOF positioning system. The steps for the simulation are given in the following figure.

 
Results top
This is a preliminary work for the implementation of Automatic 3D Acquisition and Post-processing on a real system. The results of the Simulation demonstrates the feasibility of the method. Moreover, they suggest that the Simulator can be used for the implementation on a real system in many ways:
  • Offline model-based view plan can be obtained for a real system
  • Optimal view plan using rough or coarse model can be generated
  • Optimal Scanning Zone can be found for given model specification
  • Optimal Scanner Configurations can be found
  • Suitable position and orientation of the object w.r.t. positioning system can be found
 
References top
Please refer to final draft of the thesis
 
Links top
Please refer to final draft of the thesis
 
Contact top
Please use my contact information on top of this page.
 
 
 
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