Bruno Zatt
Computer Science
Computer engineer Bruno Zatt earned his master’s degree in computer science and doctorate in microelectronics from the Federal University of Rio Grande do Sul. He further honed his skills with a post-doctoral stint at the University of California in the United States. Bruno shares his life with his wife Arielli, their daughter Antônia, and their dog Amora. His family serves as an endless source of inspiration and is the core of his life outside the computer lab.
Despite being color blind, Bruno’s research is focused on light, specifically on developing algorithms for compressing new video formats. When he needs assistance distinguishing a specific color, he relies on his daughter Antônia’s keen eyesight. Currently an assistant professor at the Federal University of Pelotas, Bruno is also a passionate fan of the Internacional soccer club.
Projects
The evolution of human communication has consistently spurred the creation of new media forms, such as photography and video, in the quest for enhanced representation and realism. Today, the surge in computing power, easy access to digital media, and the growing demand for immersive experiences are propelling the advancement of Augmented Reality (AR) and Mixed Reality (MR) technologies. Light Fields technology, one of the most promising mediums for AR/MR, goes beyond traditional images that convey information about light intensity and frequency. It also provides data about the direction of light beams, offering a richer representation of the three-dimensional environment. This additional information enables transformations in lighting, focus, and geometry, facilitating AR/MR systems for a range of applications including entertainment, communication, telemedicine, security, and unmanned vehicles. However, the representation of Light Fields necessitates a substantial volume of data, underscoring the need for compression. This project aims to develop efficient compression algorithms and demonstrate the viability of processing Light Fields in real-time on mobile devices.
