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JOURNAL:ACM, NEW YORK AUTHORS:JURGEN STEIMLE, ANDREAS JORDT, PATTIE MAES Presented by Aiswarya Gopal (P2ELT13002) Athira.L (P2ELT13023). FLEXPAD:HIGHLY FLEXIBLE BENDING INTERACTIONS FOR PROJECTED HANDHELD DISPLAYS. WHAT IS FLEXPAD…???. - PowerPoint PPT Presentation
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FLEXPAD:HIGHLY FLEXIBLE BENDING INTERACTIONS
FOR PROJECTED HANDHELD DISPLAYS
JOURNAL:ACM, NEW YORK AUTHORS:JURGEN STEIMLE, ANDREAS JORDT, PATTIE
MAES
Presented byAiswarya Gopal(P2ELT13002)
Athira.L(P2ELT13023)
WHAT IS FLEXPAD…???
Interactive system having a depth camera, projector, plain paper and hand-held displays
ABSTRACT
Track deformed surfaces from depth images
Capture complex deformations and provide fine details
Prevents occlusions from fingers and hands
Avoids use of markers
INTRODUCTION
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
CONTD…
Two main contributions Algorithm for capture of complex
deformations Detection of hands and fingers
Evaluation Two evaluation studies
RELATED WORK
Deformation capturing Technologies used▪ Light Space▪ Kinect Fusion▪ Omni touch▪ Proxy particles
Disadvantages
CONTD….
Flexible Display Interfaces Two types of work▪ Deformable sheet or tape▪ Deformation of handheld displays
FLEXPAD OVERVIEW 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
FLEXPAD IMPLEMENTATION
Kinect depth sensors Looks at
Removal of hands and fingers Global deformation model How global deformation model
OPTICAL SURFACE MATERIAL ANALYSIS FOR HAND AND FINGER DETECTION
Figure 3: Detection of skin by analyzing the point pattern in the Kinect infrared image. Center: Input. Right: Classification
MODELING THE DEFORMABLE SURFACE
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).
LIMITATIONS
Trap deformations directly observed directly from Kinect sensors
Trade-off between tracking stability and set of detectable deformations
APPLICATIONS
High flexibility
1:1 mapping
EXPLORING AND ANALYZING VOLUMETRIC DATASETS
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)
ANIMATING VIRTUAL PAPER CHARACTERS
Figure 6: Animating virtual paper characters
SLICING THROUGH TIME IN VIDEOS
Figure 7: Slicing through time in a video by deformation
EVALUATION
Two evaluations are done Tracking performance User performance of deformation
TRACKING PERFORMANCE
Figure 9: Classification of skin. Top: depth input. Center: infrared input. Bottom: depth image after classification with skin parts removed.
USER PERFORMANCE OF DEFORMATION
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)
RESULTS
Figure 11: Average trial completion time in seconds. Error bars show the standard deviation.
CONCLUSIONS
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
CONT…
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
THANK YOU