Depth Estimation from a Single Holoscopic 3D Image and Image Up-sampling with Deep-learning
Year: 2020
Type: dissertation
Abstract: 3D depth information is widely utilized in industries such as security, autonomous vehicles, robotics, 3D printing, AR/VR entertainment, cinematography and medical science.However, state-of-the-art imaging and 3D depth-sensing technologies are rather complicated or expensive and still lack scalability and interoperability.The research identified, entails the development of an innovative technique for reliable and efficient 3D depth estimation that deliver better accuracy.
Author: Akuha Solomon Aondoakaa
Language: English
Topic: Advanced Vision and Imaging
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W3014248827