Depth Sensor Selection for Specific Application

Autor: Jozef Volak, Jakub Bajzik, Libor Hargas, Silvia Janisova, Dusan Koniar
Rok vydání: 2020
Předmět:
Zdroj: 2020 ELEKTRO.
DOI: 10.1109/elektro49696.2020.9130293
Popis: To find the solutions to various technical issues in image processing we often want to be able to obtain not only color but also depth information. Information about the depth helps with a better understanding and description of the scene. As a practical matter, we aim to convert the geometrical information about the object to the digital format with the highest possible accuracy. For such a conversion there are many existing methods of creating a 3D model, e.g. photogrammetry, laser scanners. These methods provide high-quality 3D information; however, they are high-priced and often limited by the size of both scanner and object and the scanning time. As an alternative, we present an optical depth sensor that can be used excluding other emerging disadvantages with lower quality of an output model though. In the future, we consider the usage of the selected sensor for specific biomedical application: diagnostic support of obstructive sleep apnea.
Databáze: OpenAIRE