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Learning to Perceive Coherent Objects Nimrod Dorfman, Daniel Harari, Shimon Ullman Weizmann Institute of Science WEIZMANN INSTITUTE OF SCIENCE COGSCI 2013

Learning to Perceive Coherent Objects

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WEIZMANN INSTITUTE OF SCIENCE. COGSCI 2013. Learning to Perceive Coherent Objects. Nimrod Dorfman , Daniel Harari , Shimon Ullman Weizmann Institute of Science. Object segregation is learned. Even basic Gestalt cues are initially missing [Schmidt et al. 1986 ]. 5 months. - PowerPoint PPT Presentation

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Learning to PerceiveCoherent ObjectsNimrod Dorfman, Daniel Harari, Shimon UllmanWeizmann Institute of Science

WEIZMANNINSTITUTEOF SCIENCE

COGSCI 2013

Object segregation is learned25 monthsEven basic Gestalt cues are initially missing[Schmidt et al. 1986]Object segregation is learned

3Adults34How do we learnto segregate objects?5We propose a computational model:Explain the first steps of learningBased on psychophysical findingsComputationally tested on videosIt all begins with motion6MotionIt all begins with motionGrouping by common motionprecedes figural goodness[Spelke 1990 - review]

Motion discontinuities provide an early cuefor occlusion boundaries[Granrud et al. 1984]7

Our model8Static segregationLocal occlusion boundariesObject formMotion discontinuitiesCommon motionBoundary

GeneralAccurateNoisyIncompleteGlobal

Object-specificCompleteInaccurateMotion-based segregationIntensity edges?9

BoundaryOcclusion cues10

Extremal edgesConvexityT-junctions[Ghose & Palmer 2010]

Boundary10Familiar object11

Global12How does it actually work?

Moving object13MotionMoving object14FigureGroundUnknown

Motion15

MotionBoundaryGlobal

16Need many examples for good results (1000+)BoundaryGood examplesPrediction17

FigureorGround?FigureorGround?Novel object, novel background78% successUsing 100,000 training examplesBoundary17Entire image

18BoundaryFigureBackground18Learning an object19

Standard object recognition algorithmLearns local features and their relative locationsGlobal

Detection

20GlobalCombining information sources

21CombinedBoundaryAccurateNoisy & IncompleteGlobalComplete Inaccurate21More complex algorithms

Default GrabCutWith segregation cue[Rother et al. 2004]2222SummaryStatic segregation is learned from motionTwo simple mechanisms:BoundaryMotion discontinuities Occlusion boundaries(Need a rich library, including extremal edges)GlobalCommon motion Object formThese mechanisms work in synergyThis is enough to get started,adult segregation is much more complex2324ThankYou!