Fwd: [all-gre] Seminar by Andrew Fitzgibbon-Microsoft Research-Friday 24/11-10.30am-F107 INRIA

[Radu Horaud]

Begin forwarded message:

From: Edmond Boyer <Edmond...@inria.fr>

Subject: [all-gre] Seminar by Andrew Fitzgibbon-Microsoft Research-Friday 24/11-10.30am-F107 INRIA

Date: November 23, 2017 at 5:18:24 PM GMT+1

To: diffusion-...@inrialpes.fr

Reply-To: Edmond Boyer <Edmond...@inria.fr>

Speaker: Andrew Fitzgibbon Microsoft Research Cambridge

Date - Location: 24 nov. at 10.30 pm in room F107 at INRIA. 

Title: Optimization for vision reconstruction problems

 

Abstract: Sparse Gauss-Newton optimization, or “Bundle Adjustment”, is a crucial tool of 3D reconstruction.  It is considered common knowledge that bundle adjustment has a small basin of convergence and needs a good initialization.  For example, there are well known benchmark sequences where initialization from  a random starting point using any of the mainstream bundle adjustment packages leads to essentially 0% chance of convergence to the known best optima.  However, this situation is changing.  In 2011, Okatani and others re-introduced the VarPro method to matrix factorization (after some “dark ages”, for which I take some blame for promulgating in 2005).  This conferred remarkable improvements on the basin of convergence of that problem, which is, of course, the same problem as affine bundle adjustment.  More recently, my student John Hong, working with Zach, Cipolla, and me, has shown how to bring the advantages of VarPro to projective bundle adjustment.   I shall describe the main components of this work, and then speculate on future directions.

 

Bio: Andrew Fitzgibbon is a scientist with HoloLens at Microsoft, Cambridge, UK. He is best known for his work on 3D vision, having been a core contributor to the Emmy-award-winning 3D camera tracker “boujou” and Kinect for Xbox 360, but his interests are broad, spanning computer vision, graphics, machine learning, with excursions into programming languages and neuroscience.

 

He has published numerous highly-cited papers, and received many awards for his work, including ten “best paper” prizes at various venues, the Silver medal of the Royal Academy of Engineering, and the BCS Roger Needham award. He is a fellow of the Royal Academy of Engineering, the British Computer Society, and the International Association for Pattern Recognition. Before joining Microsoft in 2005, he was a Royal Society University Research Fellow at Oxford University, having previously studied at Edinburgh University, Heriot-Watt University, and University College, Cork.

 

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Edmond Boyer

MORPHEO LJK / INRIA Grenoble Rhône-Alpes

http://morpheo.inrialpes.fr/people/Boyer/

Tel: +33 476 615 354

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Radu HORAUD  

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