Super Resolution based on GAN networks applied to gaze estimation
| Autor: | Baquedano Simón, Álvaro |
|---|---|
| Přispěvatelé: | Escuela Técnica Superior de Ingeniería Industrial, Informática y de Telecomunicación, Industria, Informatika eta Telekomunikazio Ingeniaritzako Goi Mailako Eskola Teknikoa, Villanueva Larre, Arantxa, Garde Lecumberri, Gonzalo |
| Rok vydání: | 2020 |
| Zdroj: | Academica-e: Repositorio Institucional de la Universidad Pública de Navarra Universidad Pública de Navarra Academica-e. Repositorio Institucional de la Universidad Pública de Navarra instname |
| Popis: | What makes human being special and different from any other living being is its reasoning ability. Our brain is the one responsible of this, allowing us to process information coming from our senses, store memories, express emotions and much more, which makes this particular organ the most important one. Without it, we would be nothing more than organisms whose actions would rely primarily on our stimulus and reflexes. For decades, human being has always dreamed of creating machines capable of thinking and performing tasks only humans could do. This is mainly due to his desire of easing heavy and difficult workloads, performing repetitive tasks more efficiently or developing new tasks the human being is not capable of. However, building these machines comes with a very complex computational challenge a brain can solve in a few fractions of a second. The science aimed to solve these problems and define the techniques, methodology and processes required to face them belongs to the Artificial Intelligence (AI) field of study. Briega (2017) Máster Universitario en Ingeniería de Telecomunicación por la Universidad Pública de Navarra Nafarroako Unibertsitate Publikoko Unibertsitate Masterra Telekomunikazio Ingeniaritzan |
| Databáze: | OpenAIRE |
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