Princeton > CS Dept > PIXL > Graphics > Lunch Local Access 


The PIXL lunch meets every Monday during the semester at noon in room 402 of the Computer Science building. To get on the mailing list to receive announcements, sign up for the "pixl-talks" list at lists.cs.princeton.edu.

Upcoming Talks


Monday, November 23, 2009
Post-processing models in multi-view photometric stereo
Linjie Luo

Abstract
In recent multi-view photometric stereo systems that captures live performance, reconstructed models are hole present and temporally incoherent due to occlusion, inaccurate correspondence and warping error. Using Inter-frame information is crucial to complete model geometry and ensure temporal coherence. We attempt to address these problems by applying a number of techniques within a temporal window, including adaptive local ICP, CSRBF deformation, thin plate spline and Poisson surface reconstruction. Analysis about these techniques is provided and some promising results in one of the challenging cases are shown. Also, we demonstrate how color and normal images can be incorporated to generate globally consistent texture with enhanced detail on the reconstructed model.


Monday, November 30, 2009
Xiaobai Chen


Monday, December 07, 2009
Connelly Barnes


Monday, December 14, 2009
Cynthia Lu


Previous Talks


Monday, October 05, 2009
No graphics lunch


Monday, October 12, 2009
Martin Fuchs


Monday, October 19, 2009
Laplace Operator and Heat Kernel for Shape and Data Analysis
Jian Sun

Abstract
The Laplace operator is a fundamental geometric object and has many desirable properties. In addition, the Laplace operator is intimately related to heat diffusion process on a manifold, relating geometry of a manifold to the properties of the heat flow. In this talk, I will present our work on deriving multiscale shape signatures based on heat diffusion, and on clustering of biomolecular conformations based on the eigenvectors of Laplace operator. I will also talk about some future directions on both shape and data analysis that interest me.


Monday, October 26, 2009
Synthesizing and processing shapes and images in symmetry spaces.
Vladimir Kim

Abstract
Symmetry is one of fundamental characteristics of many natural and man-made objects. Several algorithms have been proposed recently to extract symmetry descriptors for partial and perfect symmetries. These data were used for shape symmetrization, hole-filling, viewpoint selection, and more. In this work we are trying to develop a general framework which would allow user to define target shape or image directly in symmetry space. This allows transferring symmetric properties from one object to another, symmetrizing images and filtering/editing images in symmetry space.


Monday, November 09, 2009
Multiple-Feature Matching of Fresco
Corey Toler-Franklin

Abstract
We present a multiple-feature matching approach for automatically matching small fragments of archaeological artifacts such as Bronze-Age and Roman frescoes. Our approach extends the traditional collection of 2D image and 3D geometry based features by incorporating high resolution 2D normal maps. In addition, we introduce a set of domain specific feature descriptors motivated by the visual cues used by archaeologists for reassembly. These features may be computed at low cost and correlate directly to the objects’ physical characteristics. In contrast to current approaches, we utilize machine learning techniques to evaluate the effectiveness of our descriptors, and to train our system to identify new matches. We have tested our system on three datasets of scanned fresco fragments, experimenting with both all-feature matching and automatic feature selection.


Monday, November 16, 2009
Design Exploration
Axel Kilian

Abstract
The work on design exploration is based on three exemplary design explorations conducted by Axel Kilian during the course of a PhD at the Massachusetts Institute of Technology. The three examples represent three different types of explorations. One, a chair design, shows exploration as a fine tuning exercise of bringing together multiple design constraints to achieve a well balanced design overall. Two, illustrated with a concept car design study, shows design exploration with the focus on innovation, through identifying and assembling design constraints step by step to define the design challenge. And three, using a form finding tool, shows design exploration as a process of discovering new design through a purpose built software piece that captures all known constraints. Of course there are many more types of explorations not captured by these categories but they help to shed light on what remains one of the biggest challenges in computational design, supporting design beyond recording of the designers intend to a stage where both formal and conceptual variations of design ideas can be fluently explored at similar speeds as in a brainstorming session between people, yet make use of computation to extend the depth at which designs are being considered, and allow for the discovery of new ones possibly missed without computational support.

Bio
Axel Kilian studied Architecture at the University of the Arts Berlin and specialized in Design and Computation for a Masters of Science, a Ph.D., and a post-doctorate at the Massachusetts Institute of Technology. He has been teaching workshops in computational design and design studios and has lectured widely on the topic of generative design at universities, in architectural practices and as a tutor in the smart geometry group workshop series since 2003. >From 2007 to 2009 he was an Assistant Professor in Design Informatics at Delft University of Technology. Since 2009 he is an Assistant Professor for Computational Design School of Architecture of Princeton University.