SlideShare a Scribd company logo
2
Most read
8
Most read
10
Most read
JOURNAL:ACM, NEW YORK
AUTHORS:JURGEN STEIMLE, ANDREAS JORDT, PATTIE
MAES
Presented by
Aiswarya Gopal(P2ELT13002)
Athira.L(P2ELT13023)
 Interactive system having a depth camera,
projector, plain paper and hand-held displays
 Track deformed surfaces from depth images
 Capture complex deformations and provide
fine details
 Prevents occlusions from fingers and hands
 Avoids use of markers
 Manipulation of real world objects for
interaction with computer systems
 Integration of physical and digital information
 Depth sensors
 Degree o freedom
 People bend pages in book
 Bending interaction
 Two main contributions
 Algorithm for capture of complex deformations
 Detection of hands and fingers
 Evaluation
 Two evaluation studies
 Deformation capturing
 Technologies used
▪ Light Space
▪ Kinect Fusion
▪ Omni touch
▪ Proxy particles
 Disadvantages
 Flexible Display Interfaces
 Two types of work
▪ Deformable sheet or tape
▪ Deformation of handheld displays
 Components used
 Kinect camera
 Projector
 Sheet of paper
 Foam or acrylic
 Flexible display material
 Any sheet can be used as passive display
 Two materials of sheet
 Kinect depth sensors
 Looks at
 Removal of hands and fingers
 Global deformation model
 How global deformation model
Figure 3: Detection of skin by analyzing the
point pattern in the Kinect infrared image.
Center: Input. Right: Classification
Figure 4: Dimensions of the deformation model (left) and examples of deformations it can express (right).Figure 4: Dimensions of the deformation model (left) and examples of deformations it can express (right).Figure 4: Dimensions of the deformation model (left) and examples of deformations it can express (right).Figure 4: Dimensions of the deformation model (left) and examples of deformations it can express (right).Figure 4: Dimensions of the deformation model (left) and examples of deformations it can express (right).Figure 4: Dimensions of the deformation model (left) and examples of deformations it can express (right).Figure 4: Dimensions of the deformation model (left) and examples of deformations it can express (right).
 Trap deformations directly observed directly
from Kinect sensors
 Trade-off between tracking stability and set
of detectable deformations
 High flexibility
 1:1 mapping
Figure 5: Exploring curved cross-sections (a), flattening the view (b), comparing contents across layers (c)Figure 5: Exploring curved cross-sections (a), flattening the view (b), comparing contents across layers (c)Figure 5: Exploring curved cross-sections (a), flattening the view (b), comparing contents across layers (c)Figure 5: Exploring curved cross-sections (a), flattening the view (b), comparing contents across layers (c)
Figure 6: Animating virtual paper characters
Figure 7: Slicing through time in a video by
deformation
 Two evaluations are done
 Tracking performance
 User performance of deformation
Figure 9: Classification of skin. Top: depth
input. Center: infrared input. Bottom: depth
image after classification with skin parts
removed.
RMS90: 2.10 mm (1.1) RMS90: 1.91 mm (1.2) RMS90: 2.67 mm (1.6)
RMS150: 2.64 mm (1.3) RMS150: 3.07 mm (1.7) RMS150: 6.1 mm (4.2)
RMS90: 4.58 mm (1.9) RMS90: 4.82 mm (2.2) RMS90: 4.93 mm (2.1)
RMS150: 5.45 mm (2.7) RMS150: 5.15 mm (2.5) RMS150: 6.38 mm (3.8)
RMS90: 4.58 mm
(1.9)
RMS90: 4.82 mm
(2.2)
RMS90: 4.93 mm
(2.1)
RMS150: 5.45 mm
(2.7)
RMS150: 5.15 mm
(2.5)
RMS150: 6.38 mm
(3.8)
 Figure 11: Average trial completion time in
seconds. Error bars show the standard
deviation.
 Summary of study findings
 Highly flexible displays
 Single and dual deformations obtained with high
precision level of +/-6 degrees
 High accuracy
 Average error was below 7mm
 Touch input on deformable displays
 Desired touch area is at the center
 Active flexible displays
 Available displays are limited
 Smart materials
 Need for deformable and stretchable
flexpad

More Related Content

DOCX
Google Glass Seminar Report
PPTX
Brain fingerprinting
PPTX
Brain Fingerprinting PPT
PDF
Python Programming ADP VTU CSE 18CS55 Module 4 Chapter 1
PDF
Google glass ppt
PPT
BIONIC EYE
PPTX
Bionic eye
PPTX
Smart mirror
Google Glass Seminar Report
Brain fingerprinting
Brain Fingerprinting PPT
Python Programming ADP VTU CSE 18CS55 Module 4 Chapter 1
Google glass ppt
BIONIC EYE
Bionic eye
Smart mirror

What's hot (20)

PPTX
Gesture Recognition Technology
PPTX
BIOMETRIC IDENTIFICATION IN ATM’S PPT
PPTX
Gesture recognition technology
PPTX
Hand Gesture Recognition Using OpenCV Python
PPT
Face recognition ppt
PPTX
Gesture Recognition Technology-Seminar PPT
PPTX
Night vision technology
PPTX
Hand Gesture Recognition
PDF
Introduction to OpenCV
PPTX
Image Representation & Descriptors
PPTX
Screenless display
PPTX
face recognition
PDF
Gesture recognition document
PPT
Face Detection and Recognition System
PPTX
Face detection presentation slide
PPTX
Eye Movement based Human Computer Interaction Technique
PPTX
Screenless pd presentation
PDF
Screenless displays seminar report
DOCX
Seminar report Of Touchless Touchscreen
PPTX
ppt of gesture recognition
Gesture Recognition Technology
BIOMETRIC IDENTIFICATION IN ATM’S PPT
Gesture recognition technology
Hand Gesture Recognition Using OpenCV Python
Face recognition ppt
Gesture Recognition Technology-Seminar PPT
Night vision technology
Hand Gesture Recognition
Introduction to OpenCV
Image Representation & Descriptors
Screenless display
face recognition
Gesture recognition document
Face Detection and Recognition System
Face detection presentation slide
Eye Movement based Human Computer Interaction Technique
Screenless pd presentation
Screenless displays seminar report
Seminar report Of Touchless Touchscreen
ppt of gesture recognition
Ad

Similar to flexpad (20)

PDF
Mouse Simulation Using Two Coloured Tapes
PDF
Mouse Simulation Using Two Coloured Tapes
PPTX
FLEXPAD.pptx
PDF
Gesture Recognition Based Mouse Events
 
PDF
IRJET - 3D Virtual Dressing Room Application
DOCX
SURF_Paper
PDF
A COMPARATIVE STUDY ON HUMAN ACTION RECOGNITION USING MULTIPLE SKELETAL FEATU...
 
DOCX
PDF
Virtual Yoga System Using Kinect Sensor
PDF
Development of Human Tracking System For Video Surveillance
PDF
AUGMENTED REALITY
PDF
10.1109@ecs.2015.7124874
PDF
Stereo Correspondence Algorithms for Robotic Applications Under Ideal And Non...
PDF
10.1109@ICCMC48092.2020.ICCMC-000167.pdf
PDF
A COMPARATIVE STUDY ON HUMAN ACTION RECOGNITION USING MULTIPLE SKELETAL FEATU...
 
PDF
A COMPARATIVE STUDY ON HUMAN ACTION RECOGNITION USING MULTIPLE SKELETAL FEATU...
 
PDF
iPlayset: Tangible Interface that brings Toys to life (Eiman Kanjo)
PDF
Enhanced Algorithm for Obstacle Detection and Avoidance Using a Hybrid of Pla...
PDF
Complete End-to-End Low Cost Solution to a 3D Scanning System with Integrated...
PDF
COMPLETE END-TO-END LOW COST SOLUTION TO A 3D SCANNING SYSTEM WITH INTEGRATED...
 
Mouse Simulation Using Two Coloured Tapes
Mouse Simulation Using Two Coloured Tapes
FLEXPAD.pptx
Gesture Recognition Based Mouse Events
 
IRJET - 3D Virtual Dressing Room Application
SURF_Paper
A COMPARATIVE STUDY ON HUMAN ACTION RECOGNITION USING MULTIPLE SKELETAL FEATU...
 
Virtual Yoga System Using Kinect Sensor
Development of Human Tracking System For Video Surveillance
AUGMENTED REALITY
10.1109@ecs.2015.7124874
Stereo Correspondence Algorithms for Robotic Applications Under Ideal And Non...
10.1109@ICCMC48092.2020.ICCMC-000167.pdf
A COMPARATIVE STUDY ON HUMAN ACTION RECOGNITION USING MULTIPLE SKELETAL FEATU...
 
A COMPARATIVE STUDY ON HUMAN ACTION RECOGNITION USING MULTIPLE SKELETAL FEATU...
 
iPlayset: Tangible Interface that brings Toys to life (Eiman Kanjo)
Enhanced Algorithm for Obstacle Detection and Avoidance Using a Hybrid of Pla...
Complete End-to-End Low Cost Solution to a 3D Scanning System with Integrated...
COMPLETE END-TO-END LOW COST SOLUTION TO A 3D SCANNING SYSTEM WITH INTEGRATED...
 
Ad

Recently uploaded (20)

PDF
The Lost Whites of Pakistan by Jahanzaib Mughal.pdf
PPTX
Cell Structure & Organelles in detailed.
PDF
O5-L3 Freight Transport Ops (International) V1.pdf
PDF
O7-L3 Supply Chain Operations - ICLT Program
PPTX
master seminar digital applications in india
PPTX
BOWEL ELIMINATION FACTORS AFFECTING AND TYPES
PDF
102 student loan defaulters named and shamed – Is someone you know on the list?
PPTX
Introduction to Child Health Nursing – Unit I | Child Health Nursing I | B.Sc...
PDF
Microbial disease of the cardiovascular and lymphatic systems
PDF
3rd Neelam Sanjeevareddy Memorial Lecture.pdf
PDF
Supply Chain Operations Speaking Notes -ICLT Program
PPTX
human mycosis Human fungal infections are called human mycosis..pptx
PDF
Complications of Minimal Access Surgery at WLH
PDF
2.FourierTransform-ShortQuestionswithAnswers.pdf
PDF
Anesthesia in Laparoscopic Surgery in India
PPTX
PPT- ENG7_QUARTER1_LESSON1_WEEK1. IMAGERY -DESCRIPTIONS pptx.pptx
 
PPTX
Microbial diseases, their pathogenesis and prophylaxis
PDF
01-Introduction-to-Information-Management.pdf
PPTX
Pharmacology of Heart Failure /Pharmacotherapy of CHF
PDF
Insiders guide to clinical Medicine.pdf
The Lost Whites of Pakistan by Jahanzaib Mughal.pdf
Cell Structure & Organelles in detailed.
O5-L3 Freight Transport Ops (International) V1.pdf
O7-L3 Supply Chain Operations - ICLT Program
master seminar digital applications in india
BOWEL ELIMINATION FACTORS AFFECTING AND TYPES
102 student loan defaulters named and shamed – Is someone you know on the list?
Introduction to Child Health Nursing – Unit I | Child Health Nursing I | B.Sc...
Microbial disease of the cardiovascular and lymphatic systems
3rd Neelam Sanjeevareddy Memorial Lecture.pdf
Supply Chain Operations Speaking Notes -ICLT Program
human mycosis Human fungal infections are called human mycosis..pptx
Complications of Minimal Access Surgery at WLH
2.FourierTransform-ShortQuestionswithAnswers.pdf
Anesthesia in Laparoscopic Surgery in India
PPT- ENG7_QUARTER1_LESSON1_WEEK1. IMAGERY -DESCRIPTIONS pptx.pptx
 
Microbial diseases, their pathogenesis and prophylaxis
01-Introduction-to-Information-Management.pdf
Pharmacology of Heart Failure /Pharmacotherapy of CHF
Insiders guide to clinical Medicine.pdf

flexpad

  • 1. JOURNAL:ACM, NEW YORK AUTHORS:JURGEN STEIMLE, ANDREAS JORDT, PATTIE MAES Presented by Aiswarya Gopal(P2ELT13002) Athira.L(P2ELT13023)
  • 2.  Interactive system having a depth camera, projector, plain paper and hand-held displays
  • 3.  Track deformed surfaces from depth images  Capture complex deformations and provide fine details  Prevents occlusions from fingers and hands  Avoids use of markers
  • 4.  Manipulation of real world objects for interaction with computer systems  Integration of physical and digital information  Depth sensors  Degree o freedom  People bend pages in book  Bending interaction
  • 5.  Two main contributions  Algorithm for capture of complex deformations  Detection of hands and fingers  Evaluation  Two evaluation studies
  • 6.  Deformation capturing  Technologies used ▪ Light Space ▪ Kinect Fusion ▪ Omni touch ▪ Proxy particles  Disadvantages
  • 7.  Flexible Display Interfaces  Two types of work ▪ Deformable sheet or tape ▪ Deformation of handheld displays
  • 8.  Components used  Kinect camera  Projector  Sheet of paper  Foam or acrylic  Flexible display material  Any sheet can be used as passive display  Two materials of sheet
  • 9.  Kinect depth sensors  Looks at  Removal of hands and fingers  Global deformation model  How global deformation model
  • 10. Figure 3: Detection of skin by analyzing the point pattern in the Kinect infrared image. Center: Input. Right: Classification
  • 11. Figure 4: Dimensions of the deformation model (left) and examples of deformations it can express (right).Figure 4: Dimensions of the deformation model (left) and examples of deformations it can express (right).Figure 4: Dimensions of the deformation model (left) and examples of deformations it can express (right).Figure 4: Dimensions of the deformation model (left) and examples of deformations it can express (right).Figure 4: Dimensions of the deformation model (left) and examples of deformations it can express (right).Figure 4: Dimensions of the deformation model (left) and examples of deformations it can express (right).Figure 4: Dimensions of the deformation model (left) and examples of deformations it can express (right).
  • 12.  Trap deformations directly observed directly from Kinect sensors  Trade-off between tracking stability and set of detectable deformations
  • 14. Figure 5: Exploring curved cross-sections (a), flattening the view (b), comparing contents across layers (c)Figure 5: Exploring curved cross-sections (a), flattening the view (b), comparing contents across layers (c)Figure 5: Exploring curved cross-sections (a), flattening the view (b), comparing contents across layers (c)Figure 5: Exploring curved cross-sections (a), flattening the view (b), comparing contents across layers (c)
  • 15. Figure 6: Animating virtual paper characters
  • 16. Figure 7: Slicing through time in a video by deformation
  • 17.  Two evaluations are done  Tracking performance  User performance of deformation
  • 18. Figure 9: Classification of skin. Top: depth input. Center: infrared input. Bottom: depth image after classification with skin parts removed.
  • 19. RMS90: 2.10 mm (1.1) RMS90: 1.91 mm (1.2) RMS90: 2.67 mm (1.6) RMS150: 2.64 mm (1.3) RMS150: 3.07 mm (1.7) RMS150: 6.1 mm (4.2) RMS90: 4.58 mm (1.9) RMS90: 4.82 mm (2.2) RMS90: 4.93 mm (2.1) RMS150: 5.45 mm (2.7) RMS150: 5.15 mm (2.5) RMS150: 6.38 mm (3.8) RMS90: 4.58 mm (1.9) RMS90: 4.82 mm (2.2) RMS90: 4.93 mm (2.1) RMS150: 5.45 mm (2.7) RMS150: 5.15 mm (2.5) RMS150: 6.38 mm (3.8)
  • 20.  Figure 11: Average trial completion time in seconds. Error bars show the standard deviation.
  • 21.  Summary of study findings  Highly flexible displays  Single and dual deformations obtained with high precision level of +/-6 degrees  High accuracy  Average error was below 7mm
  • 22.  Touch input on deformable displays  Desired touch area is at the center  Active flexible displays  Available displays are limited  Smart materials  Need for deformable and stretchable