Spatially variant biases considered self-supervised depth estimation based on laparoscopic videos

• Published in: Computer methods in biomechanics and biomedical engineering. Vol. 10; no. 3; pp. 274 - 282
• Main Authors: Li, Wenda, Hayashi, Yuichiro, Oda, Masahiro, Kitasaka, Takayuki, Misawa, Kazunari, Mori, Kensaku
• Format: Journal Article
• Language: English
• Published: Taylor & Francis 04.05.2022
• Subjects: Depth estimation; laparoscopic videos; self-supervised

Depth estimation is an essential tool in obtaining depth information for robotic surgery and augmented reality technology in the current laparoscopic surgery robot system. Since there is a lack of ground-truth for depth values and laparoscope motions during operation, depth estimation networks have...