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1 Lecture 11 Surfaces Science B44 2 1. What problem do surfaces solve 2. How are surfaces discovered, grouping 3. Modal and amodal completion 4. Border ownership and figure-ground 5. Top-down help from object knowledge Surfaces 3 Almost everywhere you look, what you “see” is a surface We don't represent the transparent air in front We don’t represent things behind the first opaque surface Surfaces are a level of description between low-level receptive fields and objects in scenes Surfaces An object is a bounded 3D volume of connected material Can you think of exceptions? A surface is the 2D boundary between the object and whatever surrounds it 4 1. What problem do surfaces solve? These are the contours of the image A picture of a Henry Moore sculpture How are the regions of the image integrated to form the object? Start with grouping elements into surfaces 5 Feature level encoding: Contours, regions, fragments, bits, pieces Group related bits into surfaces Combine surfaces into objects 1. What problem do surfaces solve? 6 2. How are surfaces discovered Gestalt Laws of grouping Reflect the probability that bits belong together as parts of the same object Principles work even in the sparsest images Grouping is the first step in discovering surfaces (and then objects) When the bits and pieces that group do not form a bounded surface, we still perceive a grouping (like birds in a flock)
Transcript
  • 1

    Lecture 11Surfaces

    Science B44

    2

    1. What problem do surfaces solve2. How are surfaces discovered, grouping3. Modal and amodal completion4. Border ownership and figure-ground5. Top-down help from object knowledge

    Surfaces

    3

    Almost everywhere you look, what you “see” is a surfaceWe don't represent the transparent air in frontWe don’t represent things behind the first opaque surfaceSurfaces are a level of description between low-level

    receptive fields and objects in scenes

    Surfaces

    An object is a bounded 3D volume of connected materialCan you think of exceptions?A surface is the 2D boundary between the object and

    whatever surrounds it4

    1. What problem do surfaces solve?

    These are the contoursof the image

    A picture of a HenryMoore sculpture

    How are the regions of the image integrated toform the object?

    Start with grouping elements into surfaces

    5

    Feature levelencoding:

    Contours, regions,fragments, bits,

    pieces

    Grouprelated bits

    intosurfaces

    Combinesurfaces into

    objects

    1. What problem do surfaces solve?

    6

    2. How are surfaces discovered

    Gestalt Laws of groupingReflect the probability that bits belong

    together as parts of the same objectPrinciples work even in the sparsest imagesGrouping is the first step in discovering

    surfaces (and then objects)When the bits and pieces that group do not

    form a bounded surface, we still perceivea grouping (like birds in a flock)

  • 7

    Aside: What is grouping??

    Absolutely basic visual phenomenon that isalmost impossible to define

    First stage in collecting regions togetherthat are part of an object

    Grouped elements seem to belong together(subjective report)

    Processed as a unit (visual search)Grouping can be seen on isolated elements

    as an attempt to find an object

    NN NN N

    NN NF

    YN LS B

    RQ GF

    8

    Because an object is a bounded volume, two nearbybits are more likely part of the same object thanare two distant bits

    a) Proximity: the discs appear to group in pairsdue to proximity

    9

    On average, there is higher similarity of materialwithin an object than between a part of the objectand its surround

    b) Similarity: the similar discs appear to group

    10

    Objects are bounded volumes, musthave closed outer contours

    c) Closure: the brackets that enclose space groupmore strongly than those that do not

    11

    Objects are bounded volumes, must haveenclosing contours. On average these aresmooth. Can you think of exceptions?

    d) Good continuation: the dots forming thesmoothest contour group together

    12

    The best shapes are the most familiar onesor the most regular or the simplest

    e) Good form: the contour bits forming the “best”shape group together

  • 13

    f) Bad form: certain cues indicate that two surfacesdo not belong together. T, and X junctions

    This is a T junctionThe stem is a contour on a surface

    lying behindThe top bar is a contour on a surface

    in frontThe two contours usually do not belong

    together

    Opaque objects interruptthe contours of otherobjects behind them

    behind

    in front

    14

    If the front surface is transparentThe T becomes an XThis is always a good cue of

    independent overlapping contoursfrom different surfaces

    Contours of transparent objects makeXs with background contours

    f) Bad form: certain cues indicate that two surfacesdo not belong together. T, and X junctions

    15

    3. Modal and amodal completionNot limited to what is present in imageVisual system may add regions and contours to surfaces

    beyond what is present in the imageAmodal completion

    Surfaces completing behind an occluding surfacesSurface is not seen but is “registered”

    Modal completionSurfaces completing in front of another even though

    the border is not visibleCompleted surface is seenIn real life, much less common than amodal

    completion16

    Amodal completion

    Black surface completes amodallyThe two black rectangles appear

    to belong togetherBecause of similarity and

    continuityCompletion of contours that are

    not seen, hidden behind frontsurface

    17

    Evidence that amodal completion occurs

    1. Face recognition is better for faces behind, when depth is defined by stereopsis

    18

    2 Amodal completion allows fragments to be groupedand recognized even when partially hidden

    spot the 5letter Bs

    From Bregman, 1990

    samefragments

    letter B

  • 19

    3. The 3D shape is much more evident when occludingstrips permit the lines to complete amodally

    20

    Modal completionContour that is absent in the

    image but “visible” to usModal completion only happens

    when two surfaces have samecolor and brightness

    No contour in the image wherethe front surface covers theback one

    But we may see a faint hint of acontour, a “subjective”contour

    In this example, it is not clearwhich lies in front

    21

    When it is unclear which surface is in front,the visual system seems to choose the one that

    requires the shortest modal contoursEven when that is illogical

    Modal completion

    22

    Kanizsa, 1979

    Subjective Contours show Modal andAmodal Completion

    You would only be seeing a square (modal completionof contour over white background)

    if you were assuming complete discs (amodal completionof green contours behind the “white” square)

    23

    Here the interrupted contours give evidence ofcolor or transparency

    The color and transparency spreads over thesubjective surface

    This is a 3D example for those who can free-fuse.

    24

    The cube in this figure can be seen as in front of theblack discs and the white bars are also “seen” in frontof the white background (modal completion).

    Or behind, seen through the Swiss cheese holes against ablack black background. The white bars are now behindthe white surface (amodal completion).

  • 25

    small modifications greatly weaken subjective surfacesby making alternate explanations more likely

    26

    These subjective surfaces show how much thevisual system gambles in inventing surfaces

    We see what ought to the most likely cause ofthese image patterns

    The bet is often wrong in these sparse imagesbut seldom wrong in natural scenes wherethere are many more cues to support eachchoice

    27

    4. Border ownership and figure-ground

    Unlike borders betweencountries, borders betweenoverlapping surfaces belongto one of the surfaces andonly one of them.

    Compare inter-nose spaceto width of vase

    Surface extends to edgeof its borders 28

    A border is always owned by the surface that lies infront.

    The green-black border belongs to black not greenIt does not mark the end of the green surfaceGreen can continue behind

    29

    Black is in frontWhy?T junctionsLow probability of an L shape fitting snugly against the

    black squareAmodal completion allows green to extend into a square

    itself --> good form and continuity

    30

    A spherical pearl in a 4 point setting or an angel.The 4 point setting is in front of the pearl and owns

    the borders.The pearl completes amodally under the setting.The angel is in front of the black background

    Ambiguous figures: border ownership disputes

  • 31

    Some objects expected or guessed based on a fewdistinctive features

    This object knowledge helps us identify and joinremaining parts together

    5. Top-down help from object knowledge

    Group relatedbits intosurfaces

    Feature level encoding:Contours, regions,

    fragments, bits, pieces

    Completeobject

    description

    Guides

    Guessed orexpected

    object

    32

    We see a face behind bars, not simplyimage fragments.

    Grouping, amodal completion, based onobject knowledge

    33

    Object knowledge is not all powerful, howeverCompletion of surfaces (continuity) often

    overrides object knowledgeAnd a regular pattern of figures, completely

    predictable, is seen as different under anoccluder.

    34

    35 36

  • 37

    Surfaces intermediate level of analysisPrinciples of groupingModal and amodal completionBorder ownership and figure-groundTop-down help from object knowledge

    1 Minute QuizNo readings for next MondayObservation Paper Proposal, this week’s sectionLab Report 2 for Monday

    Summary

    38

    Modal vs amodal, Figure vs ground, In frontvs in back, Border ownership

    Ground is in backAmodal completion in back and not visibleBorder is not owned by the surface in back

    Figure is in frontModal completion in front when front and

    back surfaces same color and brightnessFigure in front owns its borders

    Glossary

    39

    Terms figure-ground are also used for importance orinterest of object

    Do not always correspond to front and back surfaces

    Glossary


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