Dense Continuous-Time Optical Flow From Event Cameras.
Mathias GehrigManasi MuglikarDavide ScaramuzzaPublished in: IEEE Trans. Pattern Anal. Mach. Intell. (2024)
Keyphrases
- optical flow
- dense optical flow
- scene flow
- multi camera
- optical flow fields
- high frame rate
- moving camera
- optical flow computation
- dense correspondence
- optical flow field
- stereo camera
- image sequences
- point tracking
- flow field
- wide baseline
- camera motion
- multiple cameras
- static scene
- d scene
- optical flow estimation
- dense motion estimation
- motion parameters
- event detection
- least squares
- motion field
- computer vision
- markov chain
- hand held
- flow estimation
- markov processes
- camera calibration
- motion estimation
- multi view reconstruction
- depth data
- dynamical systems
- ego motion
- optimal control
- vector field
- feature tracking
- velocity field
- motion model
- surveillance system
- dense optical flow estimation
- video sequences
- dynamic programming
- state space
- scene structure
- stereo correspondence
- motion segmentation
- field of view