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Published on Oct 31, 2013
In this talk, we will sail together briefly into a comparative evaluation of two career choices for fresh graduates: joining the band of employees in industry as an engineer and pursuing an advanced PhD degree to aim for much higher goals. Then, we will dive into computer vision and talk about recent developments in this field. As you may already know, computer vision started with the goal of building machines that can see like humans and perform perception for robots. Over the years, it has become much broader than that. Applications such as face/fingerprint recognition, autonomous car navigation, human detection, object tracking, action recognition, image/video retrieval, cancer diagnosis, and super-resolution, redefined not only robotics but also many other areas including computational photography, biological sensing, graphics, GIS, biometrics, nanotechnology, surveillance, defence, intelligence, etc. Even your mobile phone now may have many applications using the core developments in computer vision. Rapid developments in supportive technologies -- such as digital cameras and computers -- ensure that computer vision systems will become increasingly more capable and affordable. Finally, I will demonstrate you some exciting research results and open discussion for potential future research projects.
Fatih Porikli is the Leader of the Computer Vision Research Group at the NICTA. He is also a Professor in the Research School of Engineering, College of Engineering and Computer Science at the Australian National University. His research is concentrated in the areas of computer vision, machine learning and signal processing. Previously he worked 14 years at Mitsubishi Electric Research Laboratories in Massachusetts, USA where he was a Distinguished Member Research Staff & Technical Manager within the Imaging group.