Pierre Boulanger Ph.D., P.Eng
Director of the Advanced Man-Machine Interface
University of Alberta
Athabasca Hall, Room 411
T6G 2E8, Canada
Who am I?
Hometown: Beautiful Quebec City
I am a man who loves life, music, fine food and most importantly, ideas
A Short CV
I worked for 18 years at the National Research Council of Canada as a senior research officer where my primary research interests were in 3D computer vision, rapid product development, and virtualized reality systems. I now hold a double appointment as a professor at the University of Alberta in the Department of Computing Science and in the Department of Radiology and Diagnostic Imaging (Faculty of Medicine). I am the Director of the Advanced Man Machine Interface Laboratory as well as the scientific director of the Alberta Radiological Visualization Center. My main research topics and teachings are on virtualized reality systems and medical imaging. I am also a Principal Investigator for Stereo IPTV at TRLabs.
In 2004, I was awarded an iCORE/TRLabs Industrial Chair in Collaborative Virtual Environments. I have published more than 260 scientific papers in various journals and conferences. I am also on the editorial board of two major academic journals. I am on many international committees and frequently give lectures on rapid product development and virtualized reality. On the commercial side, I am the President of PROTEUS Consulting Inc., an Alberta-based consulting firm specialized in Virtual Reality Applications.
3D Computer Vision
Virtualized Reality Systems
Collaborative Virtual Environments
Sensor-Based Geometric Modeling
Rapid Product Development
3D Industrial Inspection
Current and Past Projects
The most recent publication list can be found at: Publications
Recent Committee Work
Director of the Advanced Man-Machine Interface Laboratory
Technical Director of the SERVIER Virtual Heart Center
Member of TRLabs
Member of the steering committee of SERVIER Virtual Heart Centre
Member of the HSERC Steering Committee
Member of the Department of Computing Science hiring committee
Member of the Killam Prize Selection Committee
Member of the FQRNT Selection Committee
Alberta Innovates Graduate Student Scholarship Review Committee
Chair of Smart Graphics 2010
Program Committee of MVA 2011
Program Committee of 3DIMPVT 2013
Canadian Funds for Innovation (WestGrid II)
Servier University Collaboration Grants
NSERC Discovery Grant
NSERC Equipment Grant
CIHR STAIR Grant
I am currently on sabbatical leave until July 2013. The other courses I teach are:
This course is an introduction to computer graphics concentrating on two- and three-dimensional graphics and interactive techniques. Course topics include fundamental concepts of raster graphics, simple output primitives, windowing, clipping and 2D transformations, 3D transformations, modeling and viewing, hidden-line and hidden-surface removal, illumination and shading models, morphing and warping, texture mapping, ray-tracing, radiosity, and introduction to animation.
This graduate course introduces students to Virtual Reality from a new viewpoint called Virtualized Reality. We discuss the nuts and bolts of this rapidly growing field from display systems, software tools (VRML, Performer, and Java 3D), haptic rendering, sensor based model creation, and telepresence. This course is addressed to students with a background in graphics and computer vision.
This course is an introductory to basic principles and algorithms used in current technologies of multimedia systems. One of the goals of this course is to give the student hands-on experience in issues relating to multimedia data representation, compression, processing, and retrieval. In addition, the course address issues relating to sound transmission, music streaming, 2-D and 3-D graphics, image and video. It also explores human perceptual issues associated to multimedia technologies.
Among the greatest scientific challenges of the 21st century, will be to effectively understand and make use of the vast amount of information being produced. By its very nature, visualization addresses the challenges created by such excess: too many data points, too many variables, too many time steps, and too many potential explanations. Thus, as we work to tame the accelerating information explosion and employ it to advance scientific, biomedical, and engineering research, visualization will be among our most important tools. This course aims at introducing scientists, engineers, as well as practitioners in medicine the basic fundamentals of data visualization.
This graduate-level course is an introduction to the field of haptics focusing on tele-operated and virtual environments that are displayed through the sense of touch. Topics covered include human haptic sensing and control, design of haptic interfaces (tactile and force), haptics for teleoperation, haptic rendering and modeling of virtual environments, control and stability issues, and medical applications such as tele-surgery and surgical simulation. This course is addressed to students with interests in robotics, virtual reality, or computer-integrated surgical systems.
The computing performance of a PCs graphics chip (GPU) is now greater than that of the CPU. This course covers recent developments in graphics architectures and programming systems, and explores related topics from general-purpose parallel computation on GPU. The course also examines the connection between the algorithms used for real-time graphics, and the architectures that are chosen to support them.
This course presents the latest research results in point-based computer graphics. After an overview of the key research issues, 3D scanning devices are discussed, and novel concepts for mathematical representation of point-sampled shapes are presented. The course describes methods for high-performance and high-quality rendering of point models, including advanced shading, anti-aliasing, and transparency. It also presents efficient data structures for hierarchical rendering on modern graphics processors and summarizes methods for geometric processing, filtering, re-sampling of point models, and physical modeling.
In recent years, sensors and algorithms for three-dimensional (3D) imaging and modeling of real objects have received significant attention, not only in the computer vision and graphics research communities, but are also increasingly being used as tools for a variety of applications in medicine, manufacturing, archeology, and any field requiring 3D modeling of real environments. The main goal of this course is to present a general overview of digital 3D imaging technology from photogrammetry to tomographic systems and the various modeling techniques necessary to create 3D models of large and small structures that are compatible with various manufacturing and medical applications.
This course is intended to give students an understanding of multi-core architectures and parallel programming models. Student will get an appreciation of the problems and solutions researchers have identified in the field of multi-cores. Also, students will get experience in writing critical paper reviews and in presenting research. Finally, students will get a thorough understanding of how to write parallel programs for current multi-core architectures.
Being a complementary course to software engineering, we aim at educating the students to acquire a user-centered approach to software design. This implies that students must first know how humans interact with physical and information environments, and how to design software with human's information needs and their cognitive capacities in mind. In this course, we will first study some basic principles on how humans interact with computers, and then we will focus on the user-centered design cycle: user task analysis, task models, graphical interface design, prototyping, and evaluation. In addition, this course introduces several evaluation methods which help software designers discover usability problems in interface design.
This class addresses the representation, analysis, and design of discrete time signals and systems. The major concepts covered include: discrete-time processing of continuous-time signals; decimation, interpolation, and sampling rate conversion; flow-graph structures for DT systems; time-and frequency-domain design techniques for recursive (IIR) and non-recursive (FIR) filters; linear prediction; discrete Fourier transform, FFT algorithm; short-time Fourier analysis and filter banks; Wavelet Transform; Wiener and Kalman Filters, and various applications. This course qualifies as a breadth requirement in theory.
The course will first review two dimensional signal processing theory after reviewing one dimensional signal processing and sampling. We will then study four general medical imaging modalities: projection radiography, computed tomography, magnetic resonance imaging, and ultrasound. The goal will be to understand these modalities in terms familiar to engineers and physicists. Flexibility exists for the instructor to vary the depth and penetration of each topic area after determining the general background and experience of the students.
The course deals with moral, legal and social issues of computer technology. Many ethical issues that did not exist before are now omnipresent. For example, one can get our news from many free, online sources but their existence is threatening the existence of the newspapers that employ the reporters who gather the news. Social media are a great way to interact but they can threaten personal privacy. This course explore these issues and more.
Post-docs and Visiting Professors
No-one this year
Fraser Anderson, PhD, Design of Gestural Interfaces, in collaboration with Prof. Walter Bischof from the UofA Computing Science.
Jenny Cifuentes, PhD, Objective Assessment of Surgical Skills, in collaboration with Prof. Prieto, National University of Colombia.
Idanis Diaz, PhD, Tracking Brain Tumor Evolution Using Deformable Atlases. In collaboration with Prof. Greiner from the UofA Computing Science.
Matthew Hamilton, PhD, Multiscale Spatio-Temporal Visualization.
Amir Ali Sharifi, PhD, Virtual Heart and Vascular Endoscopy Using Ultrasound, CT, and MRI Data. In collaboration with Dr. Noga, Dept. Radiology and Diagnostic Imaging, UofA.
Qiong (Emily) Wu, PhD, Automatic Creation of Personalized Interactive Avatars.
Xing Dong Yang, PhD, Blurring the Boundary between Direct & Indirect Input Shared Environments.
Xiaozhou Zhou, PhD, Real-time View Morphing for Free-viewpoint Video, in Collaboration with TRLabs.
Kyrylo Shegeda, MSc, Free-viewpoint TV over IPTV, in Collaboration with TRLabs and Telus.
Last Update October, 2012