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Tuesday, March 6, 2018 11:30 am - 11:30 am EST (GMT -05:00)

PhD Seminar • Computer Graphics: Stereoscopic 3D Line Drawing and Shading

Lesley Istead, PhD candidate
David R. Cheriton School of Computer Science

In this talk, we present a method for producing stylized stereoscopic 3D (S3D) line drawings or sketches from S3D photos.

Our method renders contours and silhouettes found in the disparity map and addresses some of the issues that arise when working with 8-bit disparity. Finally, we add shading to our stylized S3D line drawings to improve the perception of depth and surface shape.

Thursday, March 8, 2018 11:30 am - 1:30 pm EST (GMT -05:00)

International Women’s Day Celebration

The HeForShe Mathematics Committee invites you to participate in the celebration of International Women’s Day.

Drop by MC third floor, outside Math C&D for photo opportunities with Professor Stephen M. Watt, Dean of Mathematics, and other Math faculty members to commemorate supporters of the HeForShe campaign.

Time: 11:30 a.m. to 1:30 p.m. (or until the cupcakes last!)

Show your commitment and join the movement ... #COUNT ME IN

Free cupcakes for participants.

IMPACT 10x10x10

Tuesday, March 13, 2018 10:00 am - 10:00 am EDT (GMT -04:00)

PhD Seminar • Human-Computer Interaction: Incremental Difficulty in Platformer Games

Rina Wehbe, PhD candidate
David R. Cheriton School of Computer Science

Designing difficulty levels in platformer games is a challenge for game designers. It is important because design decisions that affect difficulty also directly affect player experience. Consequently, design strategies for balancing game difficulty are discussed by both academics and game designers. 

Chenyan Xiong, PhD candidate
Carnegie Mellon University

Search engines and other information systems have started to evolve from retrieving documents to providing more intelligent information access. However, the evolution is still in its infancy due to computers’ limited ability in representing and understanding human language. 

Michael Abebe, PhD candidate
David R. Cheriton School of Computer Science

Cloud storage systems typically choose between replicating or erasure encoding data to provide fault tolerance. Replication ensures that data can be accessed from a single site but incurs a much higher storage overhead, which is a costly downside for large-scale storage systems. Erasure coding has a lower storage requirement but relies on encoding/decoding and distributed data retrieval that can result in increased response times.