Project Proposals 2011-2012

[ Teeth Segmentation ]   [ Teeth Reconstruction ]   [ Facial Animation ]   [ 3D Reconstruction from Drawings ]  
1) SEGMENTATION OF TEETH FROM DICOM IMAGE DATA GENERATED BY COMPUTERIZED TOMOGRAPHY

Short Description:

This project falls in the scope of computer-assisted orthodontia. In the long term, we aim at finding the perfect orthodontic conditions for transforming patient’s teeth arches in a customized manner. To reach such a goal, orthodontia needs accurate data on teeth dimensions, shape, position and orientation relatively to reference system of coordinates. This information is essential to determine the perfect teeth arches shape that will allow us to develop special techniques to move teeth to the perfect position.
For the ultimate purpose of such a long-term project, we need of a 3D image pipeline to reconstruct teeth and jaws. This pipeline is fed up by DICOM images as data input, and includes segmentation and 3D reconstruction of anatomical structures, in particular, teeth and jaws.
More specifically, this final-year undergraduate project aims to just study and implement segmentation algorithms for teeth and jaws.

Re-requisites:
Bibliographical references:
  1. Cui Jianwen, Fu Bin, and Zhang Han. Study on Three-Dimensional Finite Element Model of Maxillary Dentition. In Proceedings of the 2011 IEEE/IICME International Conference on Complex Medical Engineering, May 22 - 25, Harbin, China, 2011.
  2. Premysl Krsek, Michal Spanel, Petr Krupa, Ivo Marek, and Pavlina Cernochova. Teeth and Jaw 3D Reconstrucion in Stomatology. In Proceedings of the International Conference on Medical Information Visualisation - BioMedical Visualisation (MediViz'2007), IEEE Computer Society, pp.23-28, 2007.
Level: 4     [Easy (1), Average (2), Difficult (3), Very Difficult (4)]

Number of Students: 1

Status: Vacancy filled in by Tiago Ferreira (no. 21549).

2) 3D RECONSTRUCTION OF TEETH FROM DICOM IMAGE DATA GENERATED BY COMPUTERIZED TOMOGRAPHY

Short Description:

This project falls in the scope of computer-assisted orthodontia. In the long term, we aim at finding the perfect orthodontic conditions for transforming patient’s teeth arches in a customized manner. To reach such a goal, orthodontia needs accurate data on teeth dimensions, shape, position and orientation relatively to reference system of coordinates. This information is essential to determine the perfect teeth arches shape that will allow us to develop special techniques to move teeth to the perfect position.
For the ultimate purpose of such a long-term project, we need of a 3D image pipeline to reconstruct teeth and jaws. This pipeline is fed up by DICOM images as data input, and includes segmentation and 3D reconstruction of anatomical structures, in particular, teeth and jaws.
More specifically, this final-year undergraduate project aims to just study and implement 3D reconstruction algorithms for teeth and jaws.

Re-requisites:
Bibliographical references:
  1. Cui Jianwen, Fu Bin, and Zhang Han. Study on Three-Dimensional Finite Element Model of Maxillary Dentition. In Proceedings of the 2011 IEEE/IICME International Conference on Complex Medical Engineering, May 22 - 25, Harbin, China, 2011.
  2. Premysl Krsek, Michal Spanel, Petr Krupa, Ivo Marek, and Pavlina Cernochova. Teeth and Jaw 3D Reconstrucion in Stomatology. In Proceedings of the International Conference on Medical Information Visualisation - BioMedical Visualisation (MediViz'2007), IEEE Computer Society, pp.23-28, 2007.
Level: 4     [Easy (1), Average (2), Difficult (3), Very Difficult (4)]

Number of Students: 1

Status: Vacancy filled in by Ricardo Ponciano (no. 21421).

3) ANIMATING FACIAL EXPRESSIONS FOR GAMES AND MOVIES

Short Description:

A facial expression consists of one or more motions or positions of muscles under the skin. Such muscle movements convey the emotional state of the individual to those with whom he/she interacts. In this sense, facial expressions work as a form of nonverbal communication, since they convey social information among humans, though their significance in the perceiver can vary between cultures.
This work plan must be viewed as part of a wider plan of a project that foresees the controlled animation of facial expressions. In a first stage, we will use image acquisition techniques and tools to capture geometric information from human faces. In a second stage, we will use algorithms of deformable geometry to animate facial expressions. However, taking into consideration that the stipulated period of time of this final-year undergraduate project, the project plan will start from a database of geometric facial expressions encoded as triangular meshes, thus eliminating the first stage of the project.

Re-requisites:
Bibliographical references:
  1. Zhigang Deng and Junyong Noh. Computer Facial Animation: A Survey.
  2. Junyong Noh and Ulrich Neumann. A Survey of Facial Modeling and Animation Techniques.
  3. Shih-Kai Chung. Facial Animation: A Survey.
  4. Choong Seng Chan and Flora S. Tsai. Computer Animation of Facial Emotions. In Proceedings of the International Conference on Cyberworlds (CW'2010), October 20-22, Singapore, IEEE Computer Society, pp.425-429, 2010 .
  5. A. Garcia-Rojas, F. Vexo, D. Thalmann, A. Raouzaiou, K. Karpouzis, S. Kollias, L. Moccozet, and N. Magnenat-Thalmann. Emotional face expression profiles supported by virtual human ontology. Computer Animation and Virtual Worlds, vol. 17, pp.259-269, 2006.
  6. Fabian Di Fiore, Peter Quax, Cedric Vanaken, Wim Lamotte, and Frank Van Reeth. Conveying Emotions through Facially Animated Avatars in Networked Virtual Environments. In Arjan Egges, Arnod Kamphuis, and Mark Overmars (eds.), Motion in Games, Springer-Verlag, pp.222-233, 2008.
Level: 4     [Easy (1), Average (2), Difficult (3), Very Difficult (4)]

Number of Students: 1

Status: Vacancy filled in by Filipe Oliveira (no. -----).

4) 3D RECONSTRUCTION OF POLYHEDRAL OBJECTS FROM 2D ORTHOGRAPHIC VIEWS

Short Description:

3D CAD (computer-aided design) models are usually used by designers and engineers because of their multiple uses (visualization, simulation, machining). However, multi-view engineering drawings are still widely used. Accordingly, a conversion tool for obtaining 3D CAD models from 2D drawings is very useful in a broad range of applications.
The interest for this reconstruction problem is witnessed by the large number of research works published and disseminated in the last three decades. The main object of the present project is to find out an automatic procedure capable of solving this reconstruction problem without ambiguities. This algorithm will be limited to polyhedral objects.

Bibliographical references:
  1. Yary Volpe, Matteo Palai, Lapo Governi, and Rocco Furferi. From 2D Orthographic Views to 3D Pseudo-Wireframe: An Automatic Procedure. International Journal of Computer Applications, vol.5, no.6, pp.18–24, August, 2010.
  2. Tong Lu, Chiew-Lan Tai, Li Bao, Feng Su, and Shijie Cai. 3D Reconstruction of Detailed Buildings from Architectural Drawings. Computer-Aided Design & Applications, vol.2, no.1-4, pp.527-536, 2005.
Re-requisites:
Level: 4     [Easy (1), Average (2), Difficult (3), Very Difficult (4)]

Number of Students: 1

Status: Vacancy filled in by ----- (no. -----).



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