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Maxheim Fellowship Award PDF Print E-mail
News & Notices - General News
Written by Andrew Willis   
Monday, 23 June 2008 12:05

Dr. Andrew Willis receives the John H. Maxheim Faculty Fellowship

The William States Lee College of Engineering


Each year one tenure-track assistant faculty member within The William States Lee College of Engineering is selected to receive this award. Dr. Willis is honored for such recognition and support from both The John H. Maxheim Fellowship and the college which makes ongoing research within Charlotte Machine Vision Lab possible.

The John H. Maxheim Faculty Fellowship recognizes and promotes the career development of tenure-track junior faculty in The William States Lee College of Engineering. The quality of the academic programs provided by the college is dependent on the talent and abilities of its faculty. The John H. Maxheim Fellowship assists junior faculty with their development and growth as educators and scholars. The grant associated with this fellowship will be used to support and enhance the professional activities of the recipient.

Eligibility

Tenure-track Assistant Professors with demonstrated accomplishments and the potential for future impact on the college's programs are eligible for the John H. Maxheim Faculty Fellowship.

Selection Process

The Maxheim Fellow will be selected on a competitive basis from the eligible faculty. Contributions to the programs of the college and the promise for continued enhancement of these programs will be central to the award. Eligible faculty will be reviewed by the department Chairs in consultation with the Dean. Eligible faculty will be reviewed by the department Chairs in consultation with the Dean. Selection will target each department on a rotating basis. Priority will be given to nominees of the primary department and the Chairs will present the accomplishments of the eligible faculty for evaluation, discussion, and selection by the committee.

The Maxheim Fellow will be announced by the Dean the last week of February of each year, at which time the $5000 grant will be awarded. Subsequently, the recipient will be recognized with a plaque or certificate at The William States Lee College of Engineering Awards Luncheon in the spring.

Last Updated on Tuesday, 24 June 2008 20:57
 
3DPVT 2008 Paper Presented PDF Print E-mail
Projects - Archaeology
Written by Andrew Willis   
Thursday, 19 June 2008 10:04

Using Markov Random Fields and Algebraic Geometry to Extract 3D Symmetry Properties

Presented at 3DPVT 2008 June 18-20, 2008 Atlanta, Georgia

Fourth International Symposium on

3D Data Processing, Visualization, and Transmission

Yunfeng Sui and Andrew Willis (UNC-Charlotte, USA)

In this paper, we present a new technique for solving the difficult problem of estimating the axis of symmetry for axially-symmetric surfaces. Accurate solutions to this problem are important in archaeology for systems that seek to reconstruct pottery vessels from measurements of their fragments. Our approach estimates quadratic surfaces at each measured surface point and uses a Markov Random Field superimposed on the measured surface mesh to estimate a collection of surface patches, each of which lies close to a single 3D quadratic surface. For each surface patch we estimate an quadratic implicit polynomial whose coefficients directly provide an estimate of the unknown axis location and orientation. Competing estimates of the global axis are combined using a Maximum Likelihood Estimation (MLE) framework that reflects the uncertainty present in the estimates computed from each surface patch. Our approach differs from past approaches by combining estimates derived from large surface regions that include many measurements instead of combining many local (often pointwise) estimates of the surface to determine the global estimate. Estimates from these large regions are more robust to noise and have sufficient data to generate statistics that accurately reflect the uncertainty in the computed estimates. As such, each estimate of the central axis is less susceptible to outliers and the overall axis estimate is significantly improved.


The paper was presented by
Yunfeng Sui

Last Updated on Friday, 20 June 2008 10:39
 
Website Upgrade Complete PDF Print E-mail
News & Notices - General News
Written by Andrew Willis   
Tuesday, 20 May 2008 09:49

Website Upgrade!

The vision laboratory website is now running new web services on a new web server. This means pages will load faster, online-programs will run faster, and servlets can be provided faster. In addition, new web services allows for easily embedding multimedia content such as images, videos, sound etc. Enjoy the new website capabilities!

 
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