1 Mid level vision, neglected yet still important Ken Nakayama Harvard University.

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1 Mid level vision, neglected yet still important Ken Nakayama Harvard University

Transcript of 1 Mid level vision, neglected yet still important Ken Nakayama Harvard University.

Page 1: 1 Mid level vision, neglected yet still important Ken Nakayama Harvard University.

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Mid level vision, neglected yet still important

Ken Nakayama

Harvard University

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21st C challenge

Existence and variation of occlusion and variable sources of

illumination pose unsolved problems for vision

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• Object representation needs an intermediate level format

• Low level vision alone is not even explanatory for wide range of visual processes (motion, stereo, search)

• Missing -- a satisfactory scientific description of surface level vision

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1950s

1970s Visual take-over of the whole brain

1980s

visual

Half of primate brain and substantial fraction of humanbrain devoted to vision

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Macaque monkey brain flattened

Visual regionsshown in color

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Global division ofthe visual system

dorsal

ventral

(where, how)

what

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image surfaces

where

what

dorsalparietal

ventraltemporal

how

primalsketch

2.5Dsketch

3-Dobject

Marr's 3 levels

alternative view action

objectrecognition

BYPASS?

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image surfaces

where

what

dorsalparietal

ventraltemporal

how

primalsketch

2.5Dsketch

3-Dobject

Marr's 3 levels

alternative view action

objectrecognition

motion search depth

attentionmotion search depth

attention

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KanizsaPhenomenology, reviving the Gestalt

approach

Level: surfaces

Method: phenomenology

Practitioner: Gaetano Kanizsa

new concepts: amodal and modal completion

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Amodal competion(behind)

modal competion(in front)

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Inferences, but at what level ?

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13Amodal completion trumps knowledge of horses

Suggests that thereis a completion process within thevisual system

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Amodal completion allows fragments to be grouped andthus recognized (strongest evidence)

letter B

spot the 5 letter Bs

From Bregman, 1990

same fragments

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Occlusion and the problem of segmentation for object recognition

y

x

z

Border ownership issues - for 3-D scenes, borderscannot be shared. Border dispute needs resolution

Rule - border belongs to the closest surface

What belongstogether ?

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Problem of segmentationKanisza’s figure

Normal or amputee ?

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Border ownership dictatedby “lines” preventsmodal and amodal completion

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New sources of evidence

Surface in front “owns” the border. Thus face on right is broken up, on left is OK

Stereoscopic disparity

Nakayama et al.Perception ‘89 - faces easier to recognize on left

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Stereoscopic depth also determines borderownership between regions. Nearer surface will ownthe border (for opaque surfaces)

Nakayama & Shimojo stereo demonstrations

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Image level can’t even explain much lower level vision

Deployment of attention, motion perception, texture, visual search

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image surfaces

where

what

dorsalparietal

ventraltemporal

how

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Surfaces needed for much lower visual function

textureperception

visual

search

motionperception

imagefeatures

surfacerepresentationfeatures

textureperception

visual

search

motionperception

image

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He and Nakayama search task

Nature (1992)Used stereo vision

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surfacerepresentationfeatures

textureperception

visual

search

motionperception

image

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Random dot stereogram

LERE1 0 1 0 1 0

1 1 0 1 0 1

0

1

1 0 1 1 1

1 1 0 1 1

0 0 1 1 0 1

1

1 0 1 0 1 0

1 0 1 0 11

0 1 1

1 0 1

1 1

1 1

0 0 1 1 0 1

0

le f t e y e r ig h t e y e

unpairedpoints

The correspondence problem:an image based problem

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L.E. only R.E. only

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invisible toright eye

What would happenif we presented unpaired pointsby themselves?

What givesrise to unpairedpoints?

occludingsurfaces

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binocular

left only

right only

no depth

front

back

DaVincistereopsis

(Nakayama &Shimojo)

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Scene depth from unpaired gaps

Gillam and Nakayama, 1999

LERE

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Forest vs plane

3-D arrangement planar

A plane is a surfaceWhich can occlude, a set of random sticks cannot

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Planes vs sticks

abutting

separated

interleaved

Gillam and Nakayama, 200

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Level of processinghigh or low level inference?

Hypothesis - inferences learned via associative cortical learning

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generic view principle

when faced with more than one surface interpretation of an image, the visual system assumes it is viewing the scene from a generic, not accidental, vantage point.

Nakayama and Shimojo

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LE RE

folded wings?

folded cards?

Why don’t we interpolate depthand see folded wings and cards?

Some counterintuitive observations

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Accidental vs generic vantage points

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• accidental view

• generic view

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cube

square(surface)

(volume)

surfaces images

viewing sphere

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generic view principle

when faced with more than one surface interpretation of an image, the visual system assumes it is viewing the scene from a generic, not accidental, vantage point.

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.

I1

SnS2S1

I2

Im

Perception (inverse optics)

Learning(optics)

image sampling

through locomotion

p(I |S )nm

Candidate Surfaces

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LE RE

folded wings?

folded cards?

Why don’t we interpolate depthand see folded wings and cards?

Some counterintuitive observations

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A B

LE RE

conclusion:this is a generic viewof crossed barsnot wings

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a

folded card

1

2

3

transparency

b1

2

3

this is the genericview of transparentsurface in front,not a folded card

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neural mechanisms ofsurface representation ?Cells in V2 respond to subjective

contours

Strategy: vary stimuli in ways that lead toAppearance and disappearance of subjective contours

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Recordings from a single cell in area V2 ofmonkey

Physiological correlates of illusory contours in singleunit recordings

ye s

V 2 re ce p tive fie ld

real line

ye s

illusory line

n o

control

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Bakin, Nakayama, and Gilbert, 2000

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Edgar Rubin figure and ground

Edge labeling? contrast polarityvs edge labeling

Cells coding Border ownership?

Von der HeydtEt al.

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+-+

-+-+

-

+-+

- +-+

-

imagebasedresponse

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Borderownershipbasedresponse

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Border ownership cells

Von der Heydt and colleagues

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Von der Heydt (1984)

Bakin, Nakayama, Gilbert(2000)

DaVinci stereopsis

Border ownership cells(V2)

yes

Mechanistic account of surface representation? -->

V2

V2

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21st C challenge

Existence and variation of occlusion and variable sources of

illumination pose unsolved problems for vision

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• Object representation needs an intermediate level format

• Low level vision alone is not even explanatory for wide range of visual processes (motion, stereo, search)

• Missing -- a satisfactory scientific description of surface level vision

-- demos the importance for illumination for object recognition

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importance of shadow processing

QuickTime™ and aTIFF (Uncompressed) decompressor

are needed to see this picture.

Ted Adelson

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outline

no

shadowface

yes

reducecontrast

yes

Shadow processing in object recognition

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reducecontrast

yes

add outline

no

Outline is very destructive to seeing regionsas shaded. Line is interpreted as a boundingContour of an object

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