GyroFlow+: Gyroscope-Guided Unsupervised Deep Homography and Optical Flow Learning

Understand

Existing homography and optical flow methods are erroneous in challenging scenes, such as fog, rain, night, and snow because the basic assumptions such as brightness and gradient constancy are broken.

• To address this issue, we present an unsupervised learning approach that fuses gyroscope into homography and optical flow learning.
• Specifically, we first convert gyroscope readings into motion fields named gyro field.
• Second, we design a self-guided fusion module (SGF) to fuse the background motion extracted from the gyro field with the optical flow and guide the network to focus on motion details.