Selfredepth

• Published in: Journal of real-time image processing Vol. 21; no. 4; p. 124
• Main Authors: Duarte, Alexandre, Fernandes, Francisco, Pereira, João M, Moreira, Catarina, Nascimento, Jacinto C, Jorge, Joaquim
• Format: Journal Article
• Language: English
• Published: Heidelberg Springer Nature B.V 01.08.2024
• Subjects: Algorithms; Augmented reality; Deep learning; Machine learning; Missing data; Mixed reality; Noise reduction; Real time; Restoration; Self-supervised learning; Sensors; Video data

Depth maps produced by consumer-grade sensors suffer from inaccurate measurements and missing data from either system or scene-specific sources. Data-driven denoising algorithms can mitigate such problems; however, they require vast amounts of ground truth depth data. Recent research has tackled thi...