Reinhard Koch - Depth Cameras
Reinhard Koch graduated from the University of Hannover, Germany, and received his PhD (Dr.-Ing.) on the topic of 3D scene reconstruction from stereoscopic image sequences in 1996. From 1996-99 he worked with Prof. Luc van Gool in Leuven, Belgium, as head of the 3D reconstruction group. Since 1999 he is professor of Computer Science at the Christian-Albrechts-University Kiel, Germany. His research field is multimedia information processing, with emphasis on 3D scene reconstruction from images and video. He is author and coauthor of over 150 peer reviewed articles at international conferences, journals, and book chapters, associate editor of two international journals in computer vision, and programm committee member of numerous international conferences. He currently serves as speaker of the technical committee of the German Association for Pattern Recognition, DAGM, and is German representative at the Governing Board of the International Association on Pattern Recognition, IAPR. His current research interests are underwater 3D reconstruction, high-quality multi view scene capture, autostereoscopic 3D-TV, and deformable 3D scene analysis from range video sequences.
The analysis and reconstruction of 3D scenes from video data is an important theme in computer vision.
Recently, novel cameras have emerged that allow to capture not only color, but also the depth of the scene in realtime.
Such devices, like LIDAR, time-of-flight imaging, or the Kinect game sensor from Microsoft, facilitate 3D scene analysis enormously and allow for a complete range of novel applications.
In my presentation I will first explain the technique and ability of such depth cameras, their combination with traditional color cameras, and then discuss some recent application areas, like auto-stereoscopic 3D-Television, capture and tracking of deformable moving objects, or virtual studio 3D graphics applications, all of which rely on the novel depth devices.
Dave Ferguson - Self-Driving Cars
Dave Ferguson is a researcher working on Google's self-driving car
program. His current research focuses on machine learning, planning,
and perception in the context of autonomous vehicles. His algorithms
have been used by a number of real-world robotic systems including the
Mars Exploration Rovers, subterranean mine mapping robots, driverless
cars, and robot manipulators. From 2006 - 2007 Dave was the planning
lead for "Boss", Carnegie Mellon University's winning entry in the
DARPA Urban Challenge. From 2006 - 2008 Dave was the co-lead of the
Personal Robotics project at Intel Research, where he helped lead the
development of "Herb", an autonomous mobile manipulation robot for
indoor assistance. He received his BSc(Hons) degree in Maths and
Computer Science from Otago University in 2001, and his Ph.D. in
Robotics from Carnegie Mellon University in 2006.
Most of us use a car every day. But unlike airplanes, which have been
flying on autopilot for decades, cars are still driven manually - just
the way they were driven 100 years ago. This talk will discuss the
Google Self-Driving Car Project, an attempt to develop passenger
vehicles that are able to drive themselves. Building on early
research in the 90's in Germany and the US, and more recently the
DARPA Challenges, driverless car technology has now advanced to be
within reach of commercial application. I'll describe some of the
underlying artificial intelligence approaches that have enabled
Google's fleet of self-driving cars to navigate more than 180,000
miles on public roads in California and Nevada, including the
downtowns of San Francisco and Los Angeles.
Nick Barnes - Computer Vision for Prosthetic Vision
Nick Barnes is a principal researcher and leader of the computer vision
group at NICTA, and is a lead investigator of the Bionic Vision Australia
consortium which aims to develop a bionic eye. He has been at NICTA's
Research Laboratory since 2003. He was a lecturer at the University of
from 2000 to 2003, a visiting researcher at the LIRA Lab, University of
Italy in 1999. He completed his BSc (Hons) and PhD in computer vision for
navigation at the University of Melbourne, in 1999. He has authored or
co-authored more than 90 publications in refereed journals and conferences.
His research interests focus on computer vision and prosthetic vision.
Bionic Vision Australia is a consortium of Australian research
organisations working to develop a retinal implant to restore sight. This
talk describes work at NICTA to develop vision processing for implantable
prosthetic vision. I describe the key challenges, along with the role of
computer vision in implantable prosthetic vision, and approaches for
addressing these challenges. Our approaches use computer vision to derive
information about particular objects in the scene that are important to task
performance. We then use this understanding of the scene to ensure that key
visual information is preserved through augmentation of the resulting
prosthetic visual image. We show in human trials using simulated prosthetic
vision that such an approach can yield benefits for an orientation and
- 17th September - Extended deadline for subissions (5-6 pages) for review.
- 10th September 2012 - Deadline for submissions (5-6 pages) for review.
- 15th October 2012 - Notification of acceptance.
- 29th October 2012 - Final papers due.
- 26th-28th November - Conference dates.
The conference proceedings are now available through the ACM Digital Library.