I am a recent MSc graduate of The University of British Columbia's Imager lab, where I was under the supervision of Michiel van de Panne. Prior to this I worked as a Web Developer at GTA Locator, where I helped build a Social Networking website for the people and businesses of Toronto. I completed my Honours B.Sc in Computer Science at the University of Toronto.

Template-based Sketch Recognition using Hidden Markov Models
MSc Thesis, UBC

Sketch recognition is the process by which the objects in a hand-drawn diagram can be recognized and identified. We provide a method to recognize objects in sketches by casting the problem in terms of searching for known 2D template shapes in the sketch.

CPSC211 - Introduction to Software Development
CPSC320 - Intermediate Algorithm Design and Analysis

Sketch Matching and Classification
CS525 (Image Understanding)

The problem of being able to correctly and efficiently identify and classify an object in an image is an important one. In the case of sketches, several simple strokes can be used to define internal and external features of an object, which can then be used to find the shape and type of the object represented by the sketch. The focus of my work is to use sketches to perform a category level classification by extracting features from a sketch in the form of edges and comparing a given sketch to several templates to determine what type of object it represents.

Combining Color Filter Array Design with LCDs
CS514 (Computer Graphics: Rendering)

Digital cameras sample the color spectrum using an array of color filters laid over a light sensitive sensor array (for example a charged couple device). In order to display the image captured by these samples, they are first interpolated according to the pattern of the original color filters and then resampled on the display device according to the pattern of the display subpixels. One of the most commonly used displays is the Liquid Crystal Display (LCD), where the subpixels are arranged in a rectangular striped pattern.In this paper we will introduce new patterns both for the color filter arrays on cameras and the subpixel arrays on the displays and determine if the quality of images resampled between the two can be improved by making the patterns more similar. In particular we will focus on using the Bayer pattern, and LCD subpixel arrangement.

Gaussian Process Regression for Character Animation
CS540 (Machine Learning)

The goal of this project is to use methods such as Gaussian Process regression and Automatic Relevance Determination (ARD) in order to find an underlying predictor function for a set of high dimensional data (based on character animation) mapped to a two dimensional output space, which will be used to make a simulated character walk.

Mesh editing and simplification using Laplacian coordinates
CS533D (Digital Geometry)

Mesh editing and simplification are both important processes that can be applied to meshes and are useful for modeling as well as manipulating the shape and appearance of meshes. The focus of my work was to use a relative coordinate system over a mesh, as given by determining its Laplacian coordinates, and develop a simple and efficient framework under which both editing and simplification of a mesh could be performed.

Bipedal Walking Controller
CS526 (Computer Animation)

Designed and implemented a bipedal walking controller using the Open Dynamics Engine (ODE)

Non-photorealistic Rendering Styles
Research Assistant at Dynamic Graphics Project lab under Professor Aaron Hertzmann, Summer 2004

Developed and implemented several artistic styles for non-photorealistic rendering including watercolor and oil paint

Raytracer

Coded my own Raytracer in C++ and OpenGL. Does reflections, refractions and hard shadows.