Progressive matching optimisation method for FWI

Pattern Matching Strategies for Peephole Optimisation

Peephole optimisation is a simple and effective optimisation technique used in conventional compilers. In classical peephole optimisers, optimisation rules are commonly applied through string pattern matching by means of regular expressions. This string-based approach to matching has proven to be very effective, but it is just the syntax of the assembly code input that is processed and its mean...

A Progressive Scheme for Stereo Matching

Brute-force dense matching is usually not satisfactory because the same search range is used for the entire image, yielding potentially many false matches. In this paper, we propose a progressive scheme for stereo matching which uses two fundamental concepts: the disparity gradient limit principle and the least commitment strategy. The first states that the disparity should vary smoothly almost...

A Robust FWI Method for Model Updating in High Contrast Bodies

Stereo-Matching Techniques Optimisation Using Evolutionary Algorithms

In this paper we present a novel approach to 3D stereo-matching which uses an evolutionary algorithm in order to optimise 3D reconstruction. Common techniques in the field of 3D models generation are employed together with a Genetic Algorithm (GA) which is able to improve the results of the matching process. A general overview of the most relevant approaches is given in order to contextualise o...

Your Brains and My Beauty: Parent Matching for Constrained Optimisation

| During the last years, several methods have been proposed for handling constraints by evolutionary algorithms for parameter optimisation problems. These methods include those based on penalty functions, preservation of feasibility, decoders, repair algorithms, as well as some hybrid techniques. Most of these techniques have serious drawbacks (some of them may return infeasible solution, other...