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Daniel Cernea <[log in to unmask]>
Date:
Sat, 12 Jun 2010 05:25:21 +0200
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Call for Participation (Sorry for cross-posting):

--- Tutorial: A Practical Approach to Machine Vision for Human-Computer
Interaction ---

6th Nordic Conference on Human-Computer Interaction 2010 (NordiCHI 2010)
Sunday, 17 October, 2010
http://www.yourhost.is/nordichi2010

Short information:
http://www.yourhost.is/en/nordichi-2010/machine-vision-for-hci.html
Full details: http://www.cernea.net/PACVHCI.pdf
Registration: http://www.yourhost.is/nordichi2010
Contact: Daniel Cernea ([log in to unmask]), Anuj Sehgal ([log in to unmask])

- Aim and outcome -

This tutorial aims to provide participants with an overview of machine
vision and its many applications in the field of Human-Computer Interaction.
Participants will also have the opportunity to get an overview of algorithms
from image processing, which can be used to develop visual human-computer
interaction scenarios. Following this, they will be introduced to RoboRealm,
a powerful vision software application that allows for rapid development of
machine vision systems with little to no programming required. They will
also implement practical exercises by means of RoboRealm, for developing
their own algorithms and evaluating them by using a webcam. Programming more
complex systems using a language of the users' choice, while harnessing the
flexibility of RoboRealm, will also be covered in the tutorial.

- Abstract -

Machine vision finds applications in many domains from medicine,
archaeology, oceanography to robotics. However, due to the relative low cost
of image capturing devices and the plethora of information contained in the
visual domain, machine vision is migrating to other fields too, making it in
particular suitable for developing human-computer interaction scenarios.
Machine vision can enable detection, tracking, identification and
interpretation of actions performed by humans, making it at the same time an
intuitive and natural way of accepting commands from users. Developing image
processing algorithms and then coding them using complex software libraries
like OpenCV can be a daunting task for many researchers, especially if
results are desired quickly; even though software like Matlab provides the
ability to rapidly prototype image processing systems, their real-time
performance is poor and the flexibility to integrate these into interaction
projects is not high. As such, it is important to have the ability to
rapidly develop image-processing systems for machine vision, so that the
maximum effort may be oriented towards improving effectiveness and
functionality, rather than developing the software itself.

Full details: http://www.cernea.net/PACVHCI.pdf

- Theoretical Topics -

* Introduction to Computer Vision
* Important Methods and Approaches

- Practical Exercises -

* Interacting with RoboRealm
* Developing GUI-based Machine Vision Applications
* Designing and Implementing Advanced Applications (all aimed at HCI)

Please note: All software necessary to complete the practical
exercises will be provided on the handout CD to attendees. The
attendees are requested to bring laptops. Familiarity with
programming in C, C++ or C# is required for some of the
exercises.

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