3- Visual Motion Processing Flashcards
What 4 main things is motion good for?
1-Motion-based image segmentation
2-Navigation
3-Depth from motion
4-Structure from motion
What happens when there is bilateral damage of V5?
Loss of vision
-see the world as static snapshots
When is feature tracking used?
When there are:
-few objects/features,
-long intervals or large displacements
Limitations of local motion analysis:
Explain Aperture problem
Due to V1’s small receptor fields, local motion detectors in V1 only ‘see’ a small part of the image and respond to motion that is only orthogonal to luminance edges.
As a result the output of any one motion detector may not be a valid indicator of the overall direction an object is moving.
What is a solution to this?
To combine the responses of detectors with receptive fields located in different regions of space
(take the outputs of lots of neurons in V1 and put them together to figure out what the actual motion of object is)
As this moves, the dots are perceived as an object (cylinder). Yet the direction of rotation is actually ambiguous (can move back and forth) This is this representing?
Structure from motion
-biological motion (dots in the form of a walking man)
What is this centre of heading representing?
Navigation
What is this representing?
Motion-based image segmentation
Optic flow patterns reduces an expanding flow field (eg. driving down a country road), locating the centre of expansion (centre of the road) tells us our direction of heading is known as…
Navigation
Which stream is responsible for motion?
Dorsal
What is this representing?
Depth from motion
What area in the primary visual cortex is responsible for motion processing?
V5
Dorsal stream
Dividing the image into regions based on the motion of objects within the scene is known as…
Motion-based image segmentation
What tells us how far away objects are depending on the speed at which they move (eg. things closer will move faster, things further will be perceived as slower)?
Depth from motion
Feature tracking / cognitive strategy / long-range motion are all direct or indirect motion detection methods?
Indirect
How is motion computed in the visual brain?
Indirect method:
Feature tracking
Independent analysis of spatial displacements (where) and temporal intervals (timings)
-by viewing where an object is in 2 different time points and acknowledging their location has changed (car moving after traffic light)
What method to detect motion infers speed and direction of motion?
feature tracking
How is motion computed in the visual brain?
Direct method:
detects motion automatically
specialised detectors compute motion directly from intensity variations in the retinal image without feature tracking
Motion perception remains possible even when the spatial or temporal displacement is so small and we cant resolve it
(sub-threshold spatial and temporal
displacement)
-brief, high density displays which preclude cognitive tracking of features
Direct methods of detecting motion automatically works best under conditions where the indirect method doesn’t work properly such as…
- high density displays
these don’t have any obvious features that we can track over time, but when moving we can tell
(these preclude cognitive tracking of features)
Limitations of local motion analysis:
Explain Aperture problem
1- due to V1’s small receptor fields, local motion detectors in V1 only ‘see’ a small part of the image and respond to motion that is only orthogonal to luminance edges
leading to ambiguous estimates (unclear of true action of motion of objects sometimes)
solution: combine the responses of detectors with receptive fields located in different regions of space
Limitations of local motion analysis:
speed is the ratio of temporal frequency and spatial frequency (speed = TF / SF)
Explain Speed selectivity
There are issues with judging how fast objects are moving
V1 neurons tend to respond selectively to a specific combination of TF and SF (rather than to all stimuli moving at a particular speed)
Solution to this:
combine the output of detectors that respond to the same TF/SF ratio across v1 neurons
What is the purpose of an internal delay in the Reichardt model of motion detection?
-It matches time it takes for stimulus to move between receptive fields, detector (M) will signal rightwards motion
-Movement in opposite (leftwards) direction gives no response
Motion computed in the visual brain:
Motion can be represented by its orientation of pattern (1D image indicates no motion, but staggered 2D image mimics motion)
What is this due to?
Motion-sensitive receptive fields
Luminance profiles of moving contours (image) are oriented in space-time
Result: detecting motion (direction and speed) is analogous (has similarities) to extracting spatial orientation
Some V1 cells have receptive fields which are oriented in space-time. What does this mean?
They respond strongly to:
oriented edges
moving in a preferred direction
But NOT at all in the opposite direction
3 dimensional displays of dots which are perceived to form objects is known as the…
Structure from motion