Super-resolution statistics and its military applications Stfan van der Walt Computer Vision Group, Applied Mathematics University of Stellenbosch Slide 2 2007 CSIR (http://www.csir.co.za) Vision and Learning at Stellenbosch University Goal: allow computers to interpret what they see Wide variety of related activities: Biometrics Structure from motion Visual tracking Surveillance Image restoration Speech processing All are governed by statistics Slide 3 2007 CSIR (http://www.csir.co.za) Bayesian statistics Based on work by Rev. Thomas Bayes (17021761), Essay Towards Solving a Problem in the Doctrine of Chances, Philosophical Transactions of the Royal Society of London, P(A|B) = P(B|A) P(A) / K posterior = likelihood x prior / K A : aircraft is a Gripon B : exhaust thermal signature Rephrases the problem in an easily accessible way Slide 4 2007 CSIR (http://www.csir.co.za) My research Third year towards PhD, final year of LEDGER funding Methods used in increased resolution processing - polygon based interpolation and robust log-polar based registration. VISAPP (1) 2007: Robust automated registration in the spatial domain. Proceedings of the seventeenth annual symposium of the Pattern Recognition Association of South Africa (PRASA). Parys, South Africa, 11/2006. Open source library to perform super-resolution processing Slide 5 2007 CSIR (http://www.csir.co.za) Super-resolution processing After-the-fact reconstruction Applications include object detection/classification, tracking, surveillance, satellite image post- processing David Capel, Image Mosaicing and Super-resolution, PhD thesis (2001) Techniques used on Hubble and Mars Military applications Slide 6 2007 CSIR (http://www.csir.co.za) Super-resolution explained Slide 7 2007 CSIR (http://www.csir.co.za) Increased-resolution radar processing When lighting up a scene, the reflection is not uniform in nature Try to accurately localise bright reflected spots Take into account antenna characteristics Typical application: locate armoured vehicle with high precision Current test data from rock surfaces in open-pit mines Slide 8 2007 CSIR (http://www.csir.co.za) Geometric interpretation Slide 9 2007 CSIR (http://www.csir.co.za) Non-linear filtering Slide 10 2007 CSIR (http://www.csir.co.za) Links with industry and academia University of Pretoria Development of image processing algorithms for real-time object detection Industry Reutech Radar Systems Electronic Development House Academia NumPy/SciPy development team Colleagues at University of Colorado, Berkeley and others Slide 11 2007 CSIR (http://www.csir.co.za) Conclusion One year towards completion of PhD Acquired and re-distributed knowledge about wide variety of image processing techniques, computational geometry, numerical algorithms with military applications Further research in radar data processing Completion of libraries for super-resolution, object detection, radar processing Slide 12 2007 CSIR (http://www.csir.co.za) With thanks to... M.L. Barry K.D. Palmer LEDGER for a wonderful research opportunity. Please stay in touch: