Dr. Mercedes García Salguero
Former member
![](https://mapir.isa.uma.es/mapirwebsite/wp-content/uploads/imagenes/people/MercedesGarciaSalguero.jpg)
I am Mercedes García Salguero, PhD Student associated with the Machine Perception and Intelligent Robotics group (MAPIR), department of Systems Engineering and Automation (ISA), at the University of Málaga (Spain).
E-mail: mercedesgarsal [at] uma.es
Main research interests:
Computer vision; global optimization
Address: Dpto. Ingenieria de Sistemas y Automatica, E.T.S.I. Informatica – Telecomunicacion, Universidad de Malaga, Campus Universitario de Teatinos, 29071 Malaga, Spain
Contents
Short bio
I was born in Burgos, Spain. I received the B.Sc in “Grado en Ingeniería Electrónica, Robótica y Mecatrónica” (Degree in Electronics, Robotics and Mechatronics) from the University of Málaga in 2018 and the M.Sc in “Mecatrónica” (Mechatronics) in 2019. I am currently pursuing my PhD in “Mecatrónica” under the supervision of Prof. Javier Gonzalez-Jimenez
Topics
Here you can find a list of the topics covered during my thesis and the links to the published articles and available code.
Relative Pose Problem between calibrated cameras
![](https://mapir.isa.uma.es/mapirwebsite/wp-content/uploads/2021/12/relpose-1024x603.png)
See contributions
- Certifiable relative pose estimation
We provide an efficient optimality certifier for this problem. Paper. Code - Fast and Robust Certifiable Estimation of the Relative Pose Between Two Calibrated Cameras
We contribute a fast and efficient certifiable solver and integrate a robust paradigm to detect and discard outliers. Paper. Code - A Sufficient Condition of Optimality for the Relative Pose Problem between Cameras
We provide a sufficient optimality condition that assures the given solution is optimal without computing the full certifier. Paper. Code - A Tighter Relaxation for the Relative Pose Problem Between Cameras
We contribute a set of convex relaxations that estimate the solution even for highly noisy data in less than 7 milliseconds Paper. Code
Relative pose problem with known information
![](http://mapir.isa.uma.es/imagesrepo/papers/2023/2023_mercedes_AI_E_prior.png)
See contributions
- Fast certifiable relative pose estimation with gravity prior
We provide an efficient optimality certifier for this problem under four different formulations.
Code Generic certifier Paper
Triangulation
![](https://mapir.isa.uma.es/mapirwebsite/wp-content/uploads/2022/05/N_view_triangulation.png)
Publications
Here you can find a list of my publications:
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