My approach to symbol recognition of Chinese numerals uses techniques well
   established in digital image processing, including black/white conversion,
   digital binary morphology, pixel histograms for line counting, Zhang-Suen
   thinning for skeletonization, and other simple techniques such as median
   filtering.  These techniques are combined to form a feature extraction
   algorithm.  Once features are identified simple table lookups are
   preformed for number recognition.  The table is constructed from known
   features in each of the non-complex and common Chinese numerals.
This project also implements basic image processing algorithms, including point and neighborhood operations. [More]
   Ray tracing is an essential subject when it comes to computer graphics.
It combines issues of efficiency and realism, thus finding a favorable balance
of the time and effort involved to make realistic three dimensional images. In
the process of researching the many different ways of implementing a ray
tracer, the study began with local illumination and graduated to global
illumination, using some pre-established techniques and the development of new
techniques. [More]
   
   Marklar is built around three basic types: Marklars, strings and
   numbers.  A Marklar is a set with methods and has four basic subtypes:
   Ordered Marklars, Ordered Conformist Marklars, Unordered Marklars and 
   Unordered Conformist Marklars. Ordered Marklars have arrays and Unordered
   Marklars have hash tables.  Extended Marklars override or add methods to
   the base Marklar types.  Furthermore, Marklar has purely procedural 
   methods, including the main() method which is the default entry point. [More]
   
   This is my implementation of an SQL engine during an undergraduate direct
independent study, spring 2003.  I used Flex and Bison to define the SQL
grammar and parser generation.  Inner joins were implemented with
conditional predicates.  I called my engine Object Oriented because I
envisioned the engine storing and manipulating objects: images, sound, graphs,
etc.  The internal API was extensible to allow for other objects and
manipulation algorithms.  For example, store and manipulated images files
with an image processing algorithm.  In one semester's time I was only
able to implement the base SQL engine, image viewing, and graph generation
based on table data. [More]