A Bio-Inspired, Computational Model Suggests Velocity Gradients of Optic Flow Locally Encode Ordinal Depth at Surface Borders and Globally They Encode Self-Motion.
Florian RaudiesStefan RingbauerHeiko NeumannPublished in: Neural Comput. (2013)
Keyphrases
- computational model
- optic flow
- bio inspired
- ego motion
- flow field
- motion analysis
- optical flow
- anchor points
- motion field
- computational models
- optic flow field
- apparent motion
- image sequences
- image velocity
- scale space
- rigid motion
- swarm intelligence
- multiscale
- artificial neural networks
- motion model
- velocity field
- motion estimation
- depth map
- constraint equation
- spatial derivatives
- image flow
- computational intelligence
- camera motion
- euler lagrange
- neural network