Mobile Graphics [Half-day Tutorial]

Marco Agus - CRS4 and KAUST
Enrico Gobbetti - CRS4 [Course Organizer]
Giovanni Pintore - CRS4
Pere-Pau Vázquez - Universitat Politècnica de Catalunya
Fabio Marton - CRS4


Abstract

The hardware for mobile devices, from smartphones and tablets to mobile cameras, continues to be one of the fastest-growing areas of the technology market. Not only mobile CPUs and GPUs are rapidly increasing in power, but a variety of high-quality visual and motion sensors are being embedded in mobile solutions. This, together with the increased availability of high-speed networks at lower prices, has opened the door to a variety of novel VR, AR, vision, and graphics applications. This half-day tutorial provides a technical introduction to the mobile graphics world spanning the hardware-software spectrum, and explores the state-of-the-art and key advances in specific application domains. The five key areas that will be presented are: 1) the evolution of mobile graphics capabilities; 2) the current trends in GPU hardware for mobile devices; 3) the main software development systems; 4) the scalable visualization of large scenes on mobile platforms; and, finally, 5) the use of mobile capture and data fusion for 3D acquisition and reconstruction.

This is an updated version of the tutorials that have been presented at Eurographics 2017 and SIGGRAPH Asia 2017. Besides a general update of all sections, novel material will be on large model rendering (with new content on volumetric data) and reconstruction (with the inclusion of recent indoor solutions). EG 2017 slides are available at http://vic.crs4.it/eg2017-tutorial-mobile-graphics/, while SIGGRAPH Asia 2017 slides are available at http://vic.crs4.it/sa2017-course-mobile-graphics/.

Tutorial Details

The outline of the individual sessions is detailed below. We plan to provide tutorial notes and our complete slide sets before the conference.

Acknowledgments

This tutorial is partially supported by project TDM (RAS POR FESR 2014-2020, A1.2.2). We also acknowledge the contribution of the Spanish Ministerio de Economia y Competitivid, of FEDER (EU) funds under Grant No. TIN2017-88515-C2-1-R (GEN3DLIVE), of Sardinian Regional Authorities under projects VIGEC and VIDEOLAB, and of King Abdullah University of Science and Technology.