Llogari Casas

I'm a Passionate Computer Scientist

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Llogari Casas

I Am

Llogari Casas is a computer scientist and entrepreneur in the field of Augmented Reality (AR). He holds a degree in Multimedia from Universitat Politècnica de Catalunya and a master's degree in Computer Animation from Kingston University London. He obtained his Ph.D. from Edinburgh Napier University as part of a Horizon 2020 Marie Curie Fellowship, a highly regarded research fellowship established by the European Commission.

One of Casas' notable achievements is the development of Intermediated Reality, a groundbreaking tool that brings real-world objects to life using Augmented Reality. This tool enables objects such as statues in museums, characters and consumer products to interact with users through mobile devices. Unlike traditional Augmented Reality, which overlays virtual objects onto reality, Casas' innovation focuses on animating real objects and creating believable animations. The animations even include the deformation of an object's shadow as it moves. In recognition of his achievements, Casas was awarded the Young Computer Researcher award by the Spanish Scientific Society of Informatics in 2021.

Research

Contribution to ground breaking computer vision, graphics and fabrication research works, including real-time integration of fabricated object registration, tracking, and actuation with video game simulation and gameplay components.

Publications

Intermediated Reality with an AI 3D Printed Character

L. Casas and K. Mitchell. "Intermediated Reality with an AI 3D Printed Character". SIGGRAPH '23: ACM SIGGRAPH 2023 Real-Time Live!. 2023. Association for Computing Machinery, New York, NY, USA, Article 5, 1–2.

FaceMagic: Real-time Facial Detail Effects on Mobile

L. Casas, Y. Li and K. Mitchell. "FaceMagic: Real-time Facial Detail Effects on Mobile". SIGGRAPH Asia 2020 Technical Communications. 2020. Association for Computing Machinery, New York, NY, USA, Article 9, 1–4.

Intermediated Reality (Thesis)

L. Casas. "Intermediated Reality (Thesis)". Edinburgh Napier University. 2020. Edinburgh, Scotland, United Kingdom.

Intermediated Reality

L. Casas. "Intermediated Reality". In SIGGRAPH Asia 2019 Doctoral Consortium (SA '19). 2019. Brisbane, Australia. Association for Computing Machinery, Article 8, 1–4.

Intermediated Reality: A Framework for Communication through Tele-Puppetry

L. Casas and K. Mitchell. "Intermediated Reality: A Framework for Communication through Tele-Puppetry". Frontiers in Robotics and Artificial Intelligence - Special issue "Collaboration in Mixed-Reality" 2019.

Enhanced Shadow Retargeting with Light-Source Estimation Using Flat Fresnel Lenses

L. Casas, M. Fauconneau, M. Kosek, K. Mclister, and K. Mitchell, “Enhanced Shadow Retargeting with Light-Source Estimation Using Flat Fresnel Lenses”, Computers, vol. 8, no. 2, p. 29, Apr. 2019.

Multi-reality games: an experience across the entire reality-virtuality continuum

L. Casas^*, L. Ciccone^*, G. Çimen, P. Wiedemann, M. Fauconneau, R. W. Sumner and K. Mitchell. "Multi-reality games: an experience across the entire reality-virtuality continuum". In Proceedings of the 16th ACM SIGGRAPH International Conference on Virtual-Reality Continuum and its Applications in Industry (VRCAI '18). Tokyo, Japan. 2018. Article 18, 1–4.

Image Based Proximate Shadow Retargeting

L. Casas, M. Fauconneau, M. Kosek, K. Mclister, and K. Mitchell, "Image Based Proximate Shadow Retargeting", In Proceedings of the Conference on Computer Graphics & Visual Computing (CGVC '18), Swansea, Wales, UK, 2018, Eurographics Association, pp. 43–50.

Props Alive: A Framework for Augmented Reality Stop Motion Animation

L. Casas, M. Kosek and K. Mitchell, "Props Alive: A Framework for Augmented Reality Stop Motion Animation", 2017 IEEE 10th Workshop on Software Engineering and Architectures for Realtime Interactive Systems (SEARIS), Los Angeles, CA, USA, 2017, pp. 1-4.

Patents

Intermediated Reality. Augmented Reality Systems and Methods

L. Casas and K. Mitchell. 2019. US20220068010A1.

Real-time feature preserving rendering of visual effects on an image of a face

K. Mitchell, L. Casas and Y. Li. 2020. US11288859B2.

Equipo y procedimiento de localización de aparcamiento en zonas urbanas

L. Casas, G. Lorenzo and J. Codina. 2020. ES1299147Y.

Grants, Fellowships & Awards

Premio Investigación Sociedad Científica Informática de España (SCIE) – Fundación BBVA (2021)

Galardonado en la categoría de Investigador Joven Informático.

Innovate UK (2021 - 2022)

Project Manager. Innovation to Commercialisation of University Research (ICURe) follow on funding: round 8. Project 68475.

ICURe Programme (2020)

Entrepreneurial Lead. SETsquared: Innovation to Commercialisation of University Research (ICURe) Programme Cohort 26.

Marie Skłodowska-Curie ITN Fellowship (2016 - 2018)

Early Career Researcher (ESR). Horizon 2020. MSCA-ITN-2014-ETN. Distributed 3D Object Design (DISTRO). Grant Number 642841.

Telecom Seeds for the Future (2014)

Award Recipient. Huawei España & Escuela de Organización Industrial (EOI).

Experience

Computer Scientist

Kaleidoscop 2020 - Present

Kaleidoscop is an innovative creative studio specializing in 3D graphics, animation, augmented and virtual reality, and web development.

Co-founder

3FINERY LTD 2020 - Present

3FINERY LTD transforms reality into immersive Augmented Reality experiences, offering inclusive solutions in a social gaming environment for everyone to enjoy.

Co-founder

Flash Park SL 2020 - Present

Flash Park provides a system for monitoring on-street parking spaces in real-time using IoT devices that run autonomously using solar panels and include 5G connectivity featuring detection of unauthorized parking.

Research Fellow

Edinburgh Napier University 2016 - Present

Contribution to ground breaking computer vision, graphics and fabrication research works, including real-time integration of fabricated toy registration, tracking, and actuation with video game simulation and gameplay components.

Lab Associate

Disney Research Los Angeles 2019 - 2019

Exploration of real-time computer graphics techniques for facial detail reconstruction methods capable of retrieving high-quality geometry using Augmented Reality (AR) in hand-held mobile devices.