CTRALIE.COM

Christopher J. Tralie, Ph.D.

Christopher J. Tralie, Ph.D. Christopher J. Tralie. I am an electrical engineering researcher and algorithmic coder. Interested in applied geometry/topology and multimedia signal processing. I am currently a postdoctoral fellow working under Dr. John Harer. In the Department of Mathematics. And I am part of the Information Initiative at Duke (IID). I received a B.S.E. in Electrical Engineering. With a Computer Science. Minor at Princeton University. And I was funded by an NSF Graduate Fellowship.

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Christopher J. Tralie, Ph.D. | ctralie.com Reviews

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Christopher J. Tralie, Ph.D. Christopher J. Tralie. I am an electrical engineering researcher and algorithmic coder. Interested in applied geometry/topology and multimedia signal processing. I am currently a postdoctoral fellow working under Dr. John Harer. In the Department of Mathematics. And I am part of the Information Initiative at Duke (IID). I received a B.S.E. in Electrical Engineering. With a Computer Science. Minor at Princeton University. And I was funded by an NSF Graduate Fellowship.

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Christopher J. Tralie, Ph.D. | ctralie.com Reviews

https://ctralie.com

Christopher J. Tralie, Ph.D. Christopher J. Tralie. I am an electrical engineering researcher and algorithmic coder. Interested in applied geometry/topology and multimedia signal processing. I am currently a postdoctoral fellow working under Dr. John Harer. In the Department of Mathematics. And I am part of the Information Initiative at Duke (IID). I received a B.S.E. in Electrical Engineering. With a Computer Science. Minor at Princeton University. And I was funded by an NSF Graduate Fellowship.

INTERNAL PAGES

ctralie.com

1

Image Source Acoustics Results

http://www.ctralie.com/Teaching/ImSAcoustics/Results

Image Sources Acoustics Results. Chris Tralie and Ken Jenkins. Click here to see our formal writeup. NOTE: For best results, please listen to these examples with a pair of headphones. Example 1: Room with door - diffraction disabled. This scene contains two rectangular rooms connected by a door. The listener and source are placed in different rooms by default. The reflection and transmission coefficients start at 1 (high reverb) and decay exponentially as the frequency of the sound increases. Here is ano...

2

Chris Tralie : Basic Image Processing

http://www.ctralie.com/Teaching/ImageProcessing

Fun (the magnifying glass). Anything Else: DCT / IDCT. Void R2Image: AddNoise(double factor);. Adds noise to an image. The amount of noise is given by the factor in the range [0.0.1.0]. 0.0 adds no noise. 1.0 adds a lot of noise. In the implementation, I chose to create an image that was all noise, and to linearly interpolate between that image and the original image based on the parameter. Void R2Image: ChangeSaturation(double factor);. Void R2Image: ChangeContrast(double factor);. 00, 10], to zero.

3

Chris Tralie : 3D Shape Matching Techniques

http://www.ctralie.com/Teaching/ShapeMatching

3D Shape Matching Techniques with Shape Descriptors. Development Environment and Libraries. Sampling points and the "PointCloud" Object. The D2 Shape Descriptor. The Shell Histogram Descriptor. The PCA Shell Descriptor. The Extended Gaussian Image Descriptor. D2 Descriptor (varying pair samples). Shell Descriptors (varying the number of shells). All Descriptors (sampling 200 points from each model). All Descriptors (sampling 500 points from each model). It consists of 200 different shapes (20 different t...

4

Chris Tralie : Poisson Image Editing

http://www.ctralie.com/Teaching/PoissonImageEditing

Matching the Gradient with Boundary Conditions. Discrete Solution and Implementation with a Sparse Matrix. Try It Out Yourself! Poisson Image Editing is a technique for "seamlessly blending" two images together fully automatically. It was originally conceived in this paper. By Patrick Perez, Michel Gangnet, and Andrew Blake from Microsoft Research UK. To motivate the problem, look at an example:. What if we wanted to take this image of me and some college friends at the beach. And make it way. This whole...

5

Chris Tralie : Mesh Segmentation

http://www.ctralie.com/Teaching/MeshSeg

Mesh Segmentation by KMeans Clustering. Development Environment: Microsoft Visual Studio 2008 on Windows 7. Luckily, a SIGGRAPH 2009 paper came out of Princeton that is a more rigorous benchmark for mesh segmentation evaluation. The basic idea was to use a Mechanical Turk to collect data on how humans would cut a surface into different parts, and to compare algorithms to that data. The paper can be found here:. Xiaobai Chen, Aleksey Golovinskiy, and Thomas Funkhouser,. A Benchmark for 3D Mesh Segmentation.

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paulbendich.com

Paul Bendich

http://www.paulbendich.com/publications.html

Phone: 1 919 660 2811. Email: lastname@math.duke.edu. Topological and Statistical Behavior Classifiers for Tracking Applications. Paul Bendich, Sang Chin. Jesse Clarke, Jonathan DeSena, John Harer. David Porter, David Rouse, Nate Strawn, and Adam Watkins. To appear in IEEE Trans. on Aerospace and Electronic Systems. Persistent Homology Analysis of Brain Artery Trees. Paul Bendich, J.S.Marron. Alex Pielcoh, and Sean Skwerer. To appear in the Annals of Applied Statistics. Christopher J. Tralie. Proc 24th S...

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Christopher J. Tralie, Ph.D.

Christopher J. Tralie, Ph.D. Christopher J. Tralie. I am an electrical engineering researcher and algorithmic coder. Interested in applied geometry/topology and multimedia signal processing. I am currently a postdoctoral fellow working under Dr. John Harer. In the Department of Mathematics. And I am part of the Information Initiative at Duke (IID). I received a B.S.E. in Electrical Engineering. With a Computer Science. Minor at Princeton University. And I was funded by an NSF Graduate Fellowship.

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