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Workshop on 3D Shape Characterization
Tuesday, Dec. 18, 2007
| About |
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The goal of this mini-workshop
(Time Schedule) is to gather researchers and students for reviewing, presenting and discussing methods for 3D shape analysis, processing and comparison. Anyone interested in attending this event and/or contributing with a presentation is kindly encouraged to contact and (optionally) send a title of a presentation.
This event is sponsored by the DFG Graduiertenkolleg "Explorative Analysis and Visualization of Large Information Spaces", Department of Computer and Information Science, University of Konstanz, Germany.
Please note also the call for papers for a Special Issue of COMPUTING: Archives of Scientific Computing on Mathematical Methods for Shape Analysis and Processing.
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| Invited Speakers (confirmed) |
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- Dr. Facundo Memoli, Department of Mathematics, Stanford University: Isometry invariant shape characterization.
- Dr. Martin Reuter, Department of Mechanical Engineering, MIT: Laplacian methods for shape recognition.
Demos of three different 3D shape acquisition devices will also be part of the workshop. Further details about the program of the workshop will be given later on this page.
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| Program (Time Schedule) |
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Invited Talk
| Isometry invariant shape characterization |
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| Speaker |
Dr. Facundo Memoli, Department of Mathematics, Stanford University |
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| Abstract |
In this talk we will describe an approach to invariant shape matching and recognition based on the Gromov-Hausdorff distance. We will provide an overview of its features and developments that lead to relating it to several pre-existing techniques used in practise. The GH distance was introduced by Gromov in the 80s in the realm of metric geometry. It essentially performs a comparison between two metric spaces. By viewing shapes as metric spaces endowed with suitable metrics, and comparing them with the GH distance one can obtain a true metric between shapes which exhibits invariance for example to rigid motions (shapes are endowed with Euclidean metrics). Having a true metric has advantages both in the theoretical and practical senses. The discretization of the GH distance leads to combinatorial optimization problems which are hard to solve . Alternatives which are structurally derived from the GH distance, and are based on mass transportation ideas provide a more computationally tractable framework.
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| Spectral methods for non-rigid shape analysis |
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Dr. Martin Reuter, Department of Mechanical Engineering, MIT |
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| Abstract |
This talk will give an overview on non-rigid shape analysis using the
Laplace-Beltrami Spectrum as a signature/shape-descriptor (the
shape-DNA) that can be used to compare shape in any dimension
invariant of the location and optionally of the size of an object. The
(possibly normed) beginning sequence of the spectrum of
the Laplace-Beltrami operator has many nice properties, that make it
optimally suited to be used as a signature, eliminating the necessity to
register or align objects for the comparison process.
At an example of a database of non-rigid shapes (humans and animals in
different body postures) it will be shown that the shape-DNA has the
ability to cluster groups nicely. This shape descriptor has also been
used successfully to pickup statistically significant differences in the
shape of human brain structures (cuadate nucleus) for medical research
on Schizotypal Personality Disorder.
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Contributed Talk
| Tobias Schreck, TU Darmstadt |
Semi-automatic benchmarking of feature vectors for 3D model retrieval
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| Philipp Jenke, WSI/GRIS, University of Tübingen |
Bayesian surface reconstruction of static and dynamic scenes
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| Stefan Wagner, David Brunner, TU Chemnitz |
Fast force field approximation and its application to skeletonization and object segmentation
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| Helmut Seibert, IGD FhG Darmstadt |
3D shape acquisition for 3D face recognition: technical aspects and
application
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| Guoyan Zheng, University of Bern |
Unifying energy minimization and mutual information maximization for robust 2D/3D registration of X-Ray and CT images.
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| Thomas Siebold, Breuckmann, Meersburg |
Demo of Breuckmann 3D coded light scanner
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| Peter Opuchlik, Andreas Böhler, Markus Roth, Uni Konstanz |
Demo of Minolta and FastScan laser range scanners
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| Mauro Ruggeri, Uni Konstanz |
Bending invariant comparison of point-based
models
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| Ioan Cleju, Uni Konstanz |
Featureless texture registration for realistic 3D modeling
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| Hongwei Zheng, Uni Konstanz |
Self-adaptive geometric remeshing using intrinsic Laplacian and harmonic maps
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| Workshop Organizing Committee |
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| Local Information |
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The workshop will take place in the seminor room of Z613 in the university of Konstanz. The building is located here (click). in the university campus.
View Larger Map
How to get to Konstanz
By plane
The international airports closest to Konstanz are Zürich (about 1.5 h travel time to Konstanz) and Stuttgart (about 3.5 h travel time to Konstanz).
From Frankfurt, the travel time is 4 to 5 hours. From either airport,
Konstanz can be reached by train or by car.
By train
Whatever direction you are coming from, Konstanz can be easily reached by train (Deutsche Bahn). Get off at the central station. In front of the station there is a bus stop where you you can take a 9A or 9B bus which go every 15 minutes and stop directly at the main entrance of the university.
By car
- Coming from Frankfurt (350 km)
- Take the A 5 towards Basel. At Dreieck Karlsruhe, change from the A 5 onto the A 8 towards Stuttgart. At Autobahnkreuz Stuttgart, change from the A 8 onto the A 81 towards Singen. Konstanz will be sign posted once you reach the intersection Hegau. In Konstanz please follow the signposts to the university.
- Coming from Stuttgart (180 km)
- Take the A 81 towards Singen. Konstanz will be sign posted once you reach the intersection Hegau. In Konstanz please follow the signposts to the university.
- Coming from Zürich (75 km)
- The motorway N7 leads to Kreuzlingen / Konstanz. After the border please follow the signs "Mainau". Once you reach the old Rhine bridge, signs will lead you to the university.
You can park your car on one of the four university car parks, they are sign posted.
How to get to the Workshop on Tuesday, December 18th, 2007
Bus lines 9, 9A, and 9B leave at 15 minute intervals from the train station bus stop
schedule.
These buses go directly to the University main entrance, then you walk to the Z-building according to the map.
Please note that for the regular buses (such as 9, 9A, 9B), the fare is 1,70 Euro one way. There is a ticket machine at the train station bus stop,
you also can pay the fare directly to the bus driver. At the ticket machine, you also can buy discounted 6-ride and 20-ride tickets.
Hotel Information
Hotel Informations are available here.
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