Computer Vision

Photometric Stereo

We have investigated high performing optimization algorithms and matrix differential calculus technique in the context of Photometric Stereo and presented the results at the BMVC 2016 Source Code A github repository with the code is maintained by Yvain Quéau.

Optical Flow Computation

I’ve developed optimization algorithms for variational optical flow models based on the split Bregman algorithm in my Master thesis. A follow-up investigation on the necessity of certain intermediate filtering steps was published at the EMMCVPR 2011.

Shape Matching

The main task in three-dimensional non-rigid shape correspondence is to retrieve similarities between two or more similar three-dimensional objects. We analysed how well partial differential equations may be used to solve this problem.

Optimisation of Photometric Stereo Methods by Non-convex Variational Minimisation

Estimating shape and appearance of a three-dimensional object from a given set of images is a classic research topic that is still actively pursued. Among the various techniques available, photometric stereo is distinguished by the assumption that …

Optimised Photometric Stereo Via Non-convex Variational Minimisation

Poster presentation

Bregman Iteration for Correspondence Problems: A Study of Optical Flow

Bregman iterations are known to yield excellent results for denoising, deblurring and compressed sensing tasks, but so far this technique has rarely been used for other image processing problems. In this paper we give a thorough description of the …

Bregman Iteration for Optical Flow

Oral presentation

Intermediate Flow Field Filtering in Energy Based Optic Flow Computations

Poster presentation

Bregman Iteration for Optical Flow

Osher and his colleagues introduced Bregman iterations in image processing in 2005. This technique is known to yield excellent results for denoising/deblurring and compressed sensing tasks but it has so far been rarely used for other image …