Reynold Bailey
Professor
Department of Computer Science
Golisano College of Computing and Information Sciences
585-475-6181
Office Hours
https://www.cs.rit.edu/~rjb/schedule.html
Office Location
Office Mailing Address
70-3669
Reynold Bailey
Professor
Department of Computer Science
Golisano College of Computing and Information Sciences
Education
BS in Mathematics and Computer Science, Midwestern State University; MS, Ph.D. in Computer Science, Washington University in St. Louis
Bio
Dr. Reynold Bailey is a Professor in the Department of Computer Science at Rochester Institute of Technology. He received his Masters and Ph.D. from Washington University in St. Louis. His research interests lie in the field of applied visual perception in computer graphics and multimodal human sensing.
585-475-6181
Areas of Expertise
Artificial Intelligence
Applied visual perception in computer graphics
Multimodal human sensing
Graphics and Visualization
Select Scholarship
Published Conference Proceedings
Nwogu, Ifeoma, Bryan Passino, and Reynold Bailey. "A Study on the Suppression of Amusement." Proceedings of the IEEE Conference on Automatic Face and Gesture Recognition, May 15-19, 2018, Xi\'an, China. Ed. Sidney D’Mello, Louis‐Philippe Morency, Michel Valstar, and Lijun Yin. Xi’an, China: n.p., Web.
Haduong, Nikita, et al. "Multimodal Alignment for Affective Content." Proceedings of the AAAI Conference on Artificial Intelligence - Workshop on Affective Content Analysis (AffCon 2018),. Ed. Niyati Chhaya, Kokil Jaidka, Lyle Ungar, and P. Anandan. New Orleans, Louisiana: n.p., Web.
Medina, Rebecca, et al. "Sensing Behaviors of Students in Online vs. Face to Face Lecturing Contexts." Proceedings of the IEEE International Conference on Pervasive Computing and Communications (PerCom) - Workshop on Human-centered Computational Sensing (HCCS 2018), March 2018, Athens, Greece. Ed. Alan Marchiori and Damith C. Ranasinghe. Athens, Greece: IEEE, Web.
Peer Reviewed/Juried Poster Presentation or Conference Paper
Kothari, Rakshit, et al. "Gaze in Wild: A Dataset for Studying Vestibular-Ocular Coordination in Naturalistic Tasks." Proceedings of the 2018 IEEE Western New York Image and Signal Processing Workshop, October 2018, Rochester. Ed. IEEE. Rochester, New York: IEEE.
Diaz, Gabriel, et al. "Data-driven Gaze Event Classification for the Analysis of Eye and Head Coordination By Natural Task." Proceedings of the European Conference on Eye Movements, (ECEM 2017), Germany. Ed. Heiner Deubel, Ulrich Ettinger, Stefan Everling, Susanna Martinez-Conde, and Antje Nuthmann. Wuppertal, Germany: EMRA.
Kothari, Rakshit, et al. "Gaze-in-World Movement Classification for Unconstrained Head Motion During Natural Tasks." Proceedings of the Vision Sciences Society Annual Meeting. Ed. Preeti Verghese. Novato, CA: Journal of Vision.
Formal Presentation
Bailey, Reynold. “Subtle Gaze Direction.” SIGGRAPH 2010 The 37th International Conference and Exhibition on Computer Graphics andInteractive Techniques. Los Angeles, CA. 29 July 2010. Presentation.
Currently Teaching
CSCI-488
CS Undergraduate Summer Co-op
0 Credits
Students perform professional work related to Computer Science for which they are paid. Students must complete a student co-op work report for each term for which they are registered; students are also evaluated each term by their employer. A satisfactory grade is given for co-op when both a completed student co-op work report and a completed, corresponding employer evaluation are received and when both documents are generally consistent. When registered for co-op, students are considered by RIT to have full-time status. In order to register for co-op for either fall or spring semester, we expect that students will work a minimum of 14 weeks and work a minimum of 35 hours per week.
CSCI-589
Undergraduate Thesis Proposal and Preparation
3 Credits
Students work with a supervising faculty member to complete their undergraduate thesis proposal, and do additional background preparation (e.g., programming, study, exercises, and analysis) for the subject area and specific problem(s) to be addressed in a thesis. At the end of the semester, a thesis proposal must be submitted for approval to the advisor. Additional deliverables set by the advisor are also required (e.g., source code, bibliographies, notes, presentations, etc.).
CSCI-590
Undergraduate Thesis
3 Credits
Thesis capstone of the Bachelor’s Degree Program. The thesis document identifies a central hypothesis or key problem(s), provides a critical review of related work, and reports methods, results, and conclusions from the associated research.
CSCI-599
Computer Science Undergraduate Independent Study
1 - 3 Credits
Students work with a supervising faculty member on topics of mutual interest. A student works with a potential faculty sponsor to draft a proposal that describes what a student plans to do, what deliverables are expected, how the student's work will be evaluated, and how much credit will be assigned for successful completion of the work. The faculty sponsor proposes the grade, but before the grade is officially recorded, the student must submit a final report that summarizes what was actually accomplished.
CSCI-610
Foundations of Computer Graphics
3 Credits
Foundations of Computer Graphics is a study of the hardware and software principles of interactive raster graphics. Topics include an introduction to the basic concepts, 2-D and 3-D modeling and transformations, viewing transformations, projections, rendering techniques, graphical software packages and graphics systems. The course will focus on rasterization techniques and emphasize the hardware rasterization pipeline including the use of hardware shaders. Students will use a standard computer graphics API to reinforce concepts and study fundamental computer graphics algorithms. Programming projects and a survey of the current graphics literature will be required. Note: students who complete CSCI-510 may not take CSCI-610 for credit.
CSCI-716
Computational Geometry
3 Credits
Computational Geometry is a subfield of algorithm theory that involves the design and analysis of efficient algorithms for problems involving geometric input and output. In this course the focus will be largely on problems in 2-dimensional space (lines, line segments, polygons, planes, polyhedral, curved objects, etc.) with occasional inclusion of higher dimensional problems. There are many fields of computer science that deal with solving problems of a geometric nature. These include computer graphics, computer vision and image processing, robotics, computer-aided design and manufacturing, computational fluid-dynamics, and geographic information systems, to name a few. One of the goals of this computational geometry course is to provide the basic geometric tools necessary to solve problems in these fields. Note: Programming projects are required.