We study the orientation and speed tuning properties of spatiotemporal three-dimensional
(3D) Gabor and motion energy filters as models of time-dependent receptive fields of simple …

A number of researchers have proposed models of early motion sensing based on direction-
selective, spatiotemporal linear operators. Others have formalized the problem of measuring …

Motion estimation in image sequences is a fundamental issue in many applications as for
instance in artificial vision and three-dimensional scene reconstruction. The basic problem …

We present a new approach to computing from image sequences the two-dimensional
velocities of moving objects that are occluded and transparent. The new motion model does …

For the accurate perception of multiple, potentially overlapping, surfaces or objects, the
visual system must distinguish different local motion vectors and selectively integrate similar …

A cortical neural network that computes the visibility of shifts in the direction of movement is
proposed. The network computes:(1) the magnitude of the position difference between the …

The majority of neurons in primary visual cortex respond selectively to bars of light that have
a specific orientation and move in a specific direction. The spatial and temporal responses of …

Background Optic flow is an important cue for object detection. Humans are able to perceive
objects in a scene using only kinetic boundaries, and can perform the task even when other …

Some computational theories of motion perception assume that the first stage en route to this
perception is the local estimate of image velocity. However, this assumption is not supported …

This work presents evidence for a second stage of spatial filtering in early vision. This
second stage operates on the output of the well known linear spatial filters and integrates …