Vision 2 Flashcards

1
Q
A
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2
Q

What is computer vision?

A

Entire discipline dedicated to teaching computers to recognize objects

Computer vision encompasses various techniques and methodologies for enabling computers to interpret and understand visual information from the world.

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3
Q

What does an object recognition system need to ensure?

A

Perception is flexible and robust

A robust object recognition system must adapt to various conditions and inputs.

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4
Q

How do we perceive whole objects?

A

From parts

Object recognition involves integrating information from different parts to form a complete perception of the object.

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5
Q

What influences action in object recognition?

A

Guided memory

Memory plays a crucial role in recognizing objects and determining appropriate responses.

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6
Q

What is object constancy?

A

Maintaining object constancy regardless of visual field or conditions

This includes recognizing an object from different angles, lighting, and partial visibility.

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7
Q

What is invariance in object recognition?

A

Identifying a given object as the same despite variations

Invariance allows for consistent recognition of objects under varying conditions.

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8
Q

What is the invariance sensitivity trade-off?

A

The computational dilemma of maintaining object constancy while recognizing different objects

This trade-off involves balancing between recognizing similar sensory inputs as distinct objects and maintaining a consistent perception of the same object.

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9
Q

Fill in the blank: Maintaining object constancy is also called _______.

A

Invariance

Invariance is a key concept in understanding how we recognize objects across different contexts.

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10
Q

What does generalizing to novel examples allow us to do in object recognition?

A

Perceive them as the same objects despite differing sensory inputs

This ability to generalize is essential for effective object recognition in varying environments.

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11
Q

What is size constancy?

A

altering depth cues to create a size illusion

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12
Q

What is shape constancy or viewpoint invariance?

A

It is when you know what object it is even though it is seen in different angles.

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13
Q

what is the “where” pathway?

A

dorsal (area MT)

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14
Q

what is the “what” pathway?

A

ventral (area V4)

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15
Q

what is the fusiform face area sensitive to?

A

faces

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16
Q

what does the intraparietal sulcus do?

A

directs eye movement and reaching

17
Q

What happens with damage to regions in the ventral visual stream (what pathway)?

A

Damage to regions in the ventral visual
stream leads to visual agnosia: specific difficulty recognizing
objects presented visually or that require the use of
visually based representations

18
Q

What happens with damage to regions in the dorsal visual stream (where pathway)?

A

Damage in this pathway leads to optic ataxia: Can recognize objects, but cannot use visual
information to guide their actions

19
Q

what is double association?

A

-Damage to the ventral visual stream: cannot recognize objects, but when given them to interact with, can use visual information to perform appropriate actions.
-Damage to the dorsal visual stream: can recognize objects, but cannot use what they see to perform appropriate actions

20
Q

what does the Para-hippocampal place area detect

21
Q

what does the Extra-striate Body Area (EBA) detect?

A

parts of bodies or bodies

22
Q

what does the Visual Word Form Area (VWFA) detect?

A

letters!
* Only in people who are literate for that writing system
* In the left hemisphere only (connects to language network

23
Q

what is ensemble coding?

A

information about each visual object is
represented by a distributed pattern of activity across a specific
combination of many different neurons

24
Q

what is Multi-voxel pattern analysis?

A

A method of analysis that seeks to quantify the amount of
information present in the pattern of activity across multiple
voxels/channels
– Vs. traditional analysis that looks at what voxels are most
active, or the average activity across a region of interest
MVPA can also be
applied to MEG or
EEG
* Classify data
based on patterns
of activity in
multiple M/EEG
channels