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Dr Anil Bharath

  

Contact Details

Dr  Anil  Bharath

Reader in Image Analysis

Tel: +44 (0)20 7594 5463

a.bharath@imperial.ac.uk

 

Dr. Anil Anthony Bharath is Reader in Image Analysis, and an Associate Director of Imperial's Institute for Security Science and Technology.  He graduated with first class honours in Electrical & Electronic Engineering from UCL, and obtained a PhD from Imperial College, also from the Department of Electrical & Electronic Engineering. He was appointed as Lecturer in the Department of Biological & Medical Systems at Imperial College in 1991. Between 1993 and 2003, Dr.Bharath held the post of Hayward Lecturer in Medical Imaging, and was he appointed as Senior Lecturer in 2001.  He was appointed Director of Undergraduate Studies in the Department of Bioengineering in 2003, and to a Readership position in 2005.  Dr.Bharath has published over 80 papers and conference presentations in the field of imaging, image analysis, and acoustics, and has 20 years' experience in signal processing. In 1998, he demonstrated the first application of steerable filters to shape detection, and is interested in linking ideas from scale-space image analysis techniques with those of multi-rate filtering. He has also worked on the application of Bayesian principles to developing operators for low to mid-level vision. His academic activities have led to interdisciplinary research projects, many of which have resulted in novel clinical tools through the application of quantitative techniques in medical imaging. In 2002, Dr. Bharath initiated the Basic Technology Project "Reverse Engineering Human Visual Processes", which aims to create an engineering blueprint for a subset of processes in the human visual system, particularly of V1. In 2003, with the visual artist Dan Fern, Dr. Bharath gave the Royal Institution's Dennis Rosen Lecture, entitled Art and Imaging.

In 2008, Dr. Bharath spun out the company Cortexica Vision Systems, which applies spatial neuronal models, expressed through the use of 2D, complex wavelet decompositions, to visual search, both at video rates and on mobile devices.

See http://www.bg.ic.ac.uk/research/a.bharath