MengÜ SÜkan
MengÜ SÜkan
mengu [at] cs.columbia.edu
Fall 2008
For the final assignment of the semester in COMS 6737 - Biometrics, I decided to experiment with classifying pictures of butterflies according to their species and ended up applying the eigen-face and fisher-face methods to create "eigen-butterflies" and "fisher-butterflies".
Full Report (PDF)
Automated Recognition of Butterfly Species from an Image
For assignment #3 in COMS 4160 - Computer Graphics, my teammate and I modeled a 3D landscape in OpenGL with objects such as a tree, blades of grass, clouds and bugs (inspired by the Pixar animation movie "Bug's Life"). To meet the core requirements of the assignment, we textured the wings of our butterfly, animated it to flap its wings and integrated a procedural tree into our scene for it to fly around. Once we had completed the core requirements, we researched how to create shadows and complex animation and added those features into our scene.
Full Report (PDF)
“Bug’s LIFE” (AN INTERACTIVE 3D SCENE WITH ANIMATION USING OpenGL)
For assignment #4 in COMS 4160 - Computer Graphics, my teammate and I worked on implementing a recursive version of the ray tracing algorithm in C++. We coded intersection algorithms for triangles, rectangles and spheres. Once again, we wanted to include extra features in addition to what was required, so we researched and implemented features such as antialiasing (using 4x super sampling), reflection and refraction to render transparent materials like glass.
Project Website (www)
A Recursive raytracer in c++
For the final assignment of the semester in COMS 4701 - Artificial Intelligence, I (along with 5 of my classmates) worked on designing an inference engine that can interpret an arbitrary set of rules with a given syntax. Afterwards, we programmed our engine to take a list of movies as input (for example, a list of your favorite movies) and analyze that list along characteristics such as genre, director, actors, era, etc. to recommend similar movies.
Full Report (PDF)
Expert System for Movie Recommendation