Software
Below are a few software packages I have written ranging from general purpose programming libraries to specific computer vision and machine learning research projects. There are also several utility programs for image processing and a few experimental frameworks focused on statistical inference. Most of the packages are covered by a Creative Commons license and are free to use.
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C library of utility modules
for image processing, mathematical computation, and base programming
abstractions, including options and error handling.
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C++ library of utility
namespaces and classes for computer graphics and base programming
abstractions, such as I/O and exception handling.
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M4 macro library for build
systems managed by GNU autotools.
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Learns 3-D models of object structure from single-view images.
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Fits connected ellipsoids and cylinders to the structure of microscopic
fungus in a 3-D stack of images.
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Predicts Y-chromosome haplogroup with discriminative and generative
models trained on STR data.
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Renders 3-D object models as stereoscopic images using two different
colors.
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Finds entries in a bibtex file based on keywords, author, title, and
other common fields.
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Fits a polynomial to a set of points using linear regression and RANSAC.
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Stochastically generates points from Muller's potential using a suite of
sampling algorithms.
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Identifies edges in an image using a gradient-based, Canny detection
algorithm.
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Detects and visualizes 3-D surface points from a stack of images
representing optical sections of an object.
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Displays a 3-D stack of images from three orthogonal views.
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