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Images for paper By shooting

Images for paper

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Images for paper. By shooting. Sample collection. Hard/Soft vertical touch. timer. 5. Finger touch position. Background Subtraction. Normalization. Difference of Gaussian. Binary. Finger Analysis. Background Subtraction. Normalization. Approximate DoG. Binary. Finger Analysis. - PowerPoint PPT Presentation

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Page 1: Images for paper

Images for paper

By shooting

Page 2: Images for paper

2

Sample collection

• Hard/Soft vertical touch

Finger touch position

5

timer

Page 3: Images for paper

3

BackgroundSubtraction Normalization Simple

HighpassMono Threshold

BackgroundSubtraction Normalization Difference of

Gaussian Threshold

Normalization Difference of Gaussian

Background Subtraction Binary Finger Analysis

Normalization Difference of Gaussian

Background Subtraction Binary Finger Analysis

Normalization ApproximateDoG

Background Subtraction Binary Finger Analysis

Page 4: Images for paper

4

ImageFusion(Blend)

IR Camera

IR camera

Undistortion

Undistortion

HomoWarp

HomoWarp

ImageFusion

(Stitching)

IR Camera

IR camera

Undistortion

Undistortion

HomoWarp

HomoWarp

Page 5: Images for paper

5

DetectionModule Verify Next Parameter Set

Generator

DetectionResult

GroundTruth

Error RateParameter Set

Parameter Set

Parameter Set’

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6

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7

Detection systemSampleset

Training

Parameter Set

Detection Result

GroundTruth

OptimalParameter

Set

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8

VerifyNext Parameter Set

Generator

DetectionResult

GroundTruth

Error Rate

Page 9: Images for paper

9

Detection systemSampleset

Training

Parameter Set

Detection Result

GroundTruth

OptimalParameter Set

VerifyNext Parameter Set

Generator

DetectionResult

GroundTruth

Error Rate

Parameter Set

Page 10: Images for paper

10

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11

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12

Detection systemTest set

Optimal parameter finder

Parameter Combination

Detection Result

Optimal Parameter Combination

Ground truth(Trace)

VerifyNext Parameter Set

Generator

DetectionResult

GroundTruth

# of miss & # of false alarm

Parameter Combination

Optimal parameter finder

Page 13: Images for paper

Applicable Parameters Determinator

Parameter Combination

Detection Result

Applicable set of Parameters

TestSet

Touch Data

Ground truth(Trace)

Detection System

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14

frame 1

frame 2

miss frame 1

frame 2

False alarm

miss

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15

frame 1

frame 3

frame 2 frame 1

frame 3

frame 2

frame 3False alarm

miss

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frame 1

frame 1

False alarm

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Undistortion

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Dead zone

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ImageStiching

FingerDetection

Finger Tracking

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21

Image blend

Page 22: Images for paper
Page 23: Images for paper

23

Hardware configuration

• Order of diffuser layer and touch-glass layer

Diffuser layer

IR illuminatorIR camera

spot

IR illuminatorIR camera

Touch-glass layer

IR camera

spot

IR camera

Page 24: Images for paper

24

Modified by 510

• Order of diffuser layer and touch-glass layer

Diffuser layer

IR illuminatorIR camera

spot

IR illuminatorIR camera

Touch-glass layer

IR camera

spot

IR camera

2

1

4 3

Page 25: Images for paper

Sampling

Measure

1 1( | )t tP X Z

1( | )t tP X Z

( | )t tP X Z

Page 26: Images for paper

INITIALIZE PARTICLES

PARTICLE GENERATION

WEIGHT COMPUTATION

1 2 M

1 2 M

NORMALIZE WEIGHTS

More iteration

Over l imited iteration

RESAMPLING

OUTPUTNo

Yes

Yes

No

……

……

PARTICLE GENERATION

WEIGHT COMPUTATION

Page 27: Images for paper

5 2

16

2 5

43

1

4

3

6

VSLH VS

RH

2

5

Page 28: Images for paper

5 2

16

2 5

43

1

4

3

6

VSLH VS

RH

2

5

Page 29: Images for paper

INITIALIZE PARTICLES

Particle Generation

Weight Computation

1 2 M

1 2 M

Normalize Weights

Mo re I te ra t ion

Over

Resampling

OUTPUTNo

Yes

Yes

No

Page 30: Images for paper

VSLH

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Page 33: Images for paper

(2) IR Camera

(3) IR Illuminator

(1) Peripheral Projector

Page 34: Images for paper
Page 35: Images for paper

Optimal Parameter Finder

Finger Detection System

Interface

Page 36: Images for paper

GPU

Direct3D

HLSL

Dshow

Page 37: Images for paper

GShow DirectShow

HomoWarp ImageFusion

BackgroundSubtraction Normalization Difference

of Gaussian Binary FingerAnalysis

Multi-touch Finger Detection System

GShow DirectShow

HomoWarp ImageBlending

BackgroundSubtraction Normalization Difference

of Gaussian Binary FingerAnalysis

Multi-touch Finger Detection System

Page 38: Images for paper

Normalization Difference of Gaussian

Background Subtraction Binary Finger Analysis

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Page 41: Images for paper

Subtract value

Smooth kernel Threshold Finger size

Low bound 0 7 10 15

Step 3 2 3 9

High bound 15 17 25 60

RGBTo Gray

Background Subtraction Normalization Approximate

DoG Threshold

Frame per second 410 385 400 400