Edificio Ada Byron
Laboratorio 2.06
María de Luna, 3, 50018 Zaragoza

smalpica AT unizar DOT es
Group's webpage

Universidad de Zaragoza, I3A

Sandra Malpica Mallo

Ph.D. student

About me

Hi! I am currently a PhD student working under the supervision of Prof. Belen Masia and Prof. Diego Gutierrez at the Graphics and Imaging Lab. My main research interests move around human perception applied to virtual reality and material perception.

Work Experience



Graphics and Imaging Lab
(DGA Grant)
December 2018 - PRESENT

4 year competitive Ph.D. grant.
Awarded by the spanish government (Dirección General de Aragón).


Graphics and Imaging Lab
July 2018 - November 2018
June 2017 - October 2017


Graphics and Imaging Lab
April 2017 - June 2017
March 2016 - December 2016


Abaco Digital
June 2015 - September 2015

About the curricular internship: Development of a 360 video player application for Android. Funded by the CRUE-CEPYME grants of Banco Santander.



PhD programme in Computer Science and Systems Engineering

Universidad de Zaragoza
sept. 2018 - present

Under a 4 year Ph.D competitive grant awarded by the spanish government.
Area of Advanced Computer Graphics

Honorary mention (Master's final dissertation)

Universidad de Zaragoza

Title: Study and applications of human sensory perception in Virtual Reality

Master degree in Biomedical Engineering

Universidad de Zaragoza
2017 - 2018

Best Final Degree Project

Universidad de Zaragoza

Presented in the Excellence Final Degree Project's session at the Universidad de Zaragoza.
Also awarded with the "Most Innovative Final Degree Project" Award by Tecnara (Aragón IT cluster)

Improved Intuitive Appearance Editing based on Soft PCA

CEIG, 2017
Authors: Sandra Malpica, Miguel Barrio, Diego Gutierrez, Ana Serrano, and Belen Masia

Abstract: During the last few years, many different techniques for measuring material appearance have arisen. These advances have allowed the creation of large public datasets, and new methods for editing BRDFs of captured appearance have been proposed. However, these methods lack intuitiveness and are hard to use for novice users. In order to overcome these limitations, Serrano et al. recently proposed an intuitive space for editing captured appearance. They make use of a representation of the BRDF based on a combination of principal components (PCA) to reduce dimensionality, and then map these components to perceptual attributes. This PCA representation is biased towards specular materials and fails to represent very diffuse BRDFs, therefore producing unpleasant artifacts when editing. In this paper, we build on top of their work and propose to use two separate PCA bases for representing specular and diffuse BRDFs, and map each of these bases to the perceptual attributes. This allows us to avoid artifacts when editing towards diffuse BRDFs. We then propose a new method for effectively navigate between both bases while editing based on a new measurement of the specularity of measured materials. Finally, we integrate our proposed method in an intuitive BRDF editing framework and show how some of the limitations of the previous model have been overcomed with our representation. Moreover, our new measure of specularity can be used on any measured BRDF, as it is not limited only to MERL BRDFs.

[PDF] [Bibtex] (also presented on the VI young researcher's day at the I3A)

Bachelor degree in Computer Engineering

Universidad de Zaragoza

Expertise in Computer Science.