航空资料34(16)

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AIM@SHAPE
NIG Kick-Off Meeting
Darmstadt, 18.03.2004
Agents,
Semantic Interoperability
~~~ ~~~~
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B ↔ C
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A ↔ B ☝ ☞
Ontologies,
Knowledge Representation
RDFS
Inferencing
Storage / Retrieval
DB
Storage
RDF(S) Triples
relational DB
semantic IR
Meta Data /
Semantic Annotation
RDF
XML
storage
<attribute>
MaxSpeed = 250
</attribute> ...
Audi 8 Car
rdf:type
Semantic Web Techniques
AIM@SHAPE
NIG Kick-Off Meeting
Darmstadt, 18.03.2004
Query:
“shapes of cars
with 12 cylinder engines”
WIDE: Graph. Presentation of Semantics
2D
3D
AIM@SHAPE
NIG Kick-Off Meeting
Darmstadt, 18.03.2004
Task 8.2: Network Industrial Group (NIG)
 Orthogonal topics
 Shape Aquisition
 Digitalisation, scanning, reconstruction,
matching
 Shape reasoning (geometric /
semantic)
 Semantic tagging (manual ->
automatic)
 Geometry compression
 Etc.
AIM@SHAPE
NIG Kick-Off Meeting
Darmstadt, 18.03.2004
 Shape Aquisition
What are aim@shape partners doing?
AIM@SHAPE
NIG Kick-Off Meeting
Darmstadt, 18.03.2004
IMPACT
Integrated Multi Purpose ACquisitionTool
conveyor belt
stereo head laser
engine
free slot for
the linear camera
image processing
techniques for low cost
3D data acquisition:
stereopsis
active sensors
(laserscan)
3D from image
sequences
AIM@SHAPE
NIG Kick-Off Meeting
Darmstadt, 18.03.2004
 Shape Reasoning
What are aim@shape partners doing?
AIM@SHAPE
NIG Kick-Off Meeting
Darmstadt, 18.03.2004
Shape-Based Retrieval

AIM@SHAPE
NIG Kick-Off Meeting
Darmstadt, 18.03.2004
 Fundamentals
What are aim@shape partners doing?
AIM@SHAPE
NIG Kick-Off Meeting
Darmstadt, 18.03.2004
Shape Modeling
 Surface Reconstruction
 Shape digitizing technologies:
hundreds of millions points
scattered over a surface
 Fast visualization,
reconstruction of missed
data, editing are needed
 Our Approach:
 Adaptive space subdivision
+ local fitting + PU
 Reconstruction of the
distance field
 Reconstruction of sharp
features via special library
of local approximations
(sparse approximation,
overcomplete basis)
 Various shape
modeling operations
Corner function
Edge function
Standard quadric
4 mln pts, 10-4 error
10 min on P4 1.6 GHz
AIM@SHAPE
NIG Kick-Off Meeting
Darmstadt, 18.03.2004
Implicit surfaces from point sets
Boolean Operationen
Blending
Transformation /
Deformation Morphing
AIM@SHAPE
NIG Kick-Off Meeting
Darmstadt, 18.03.2004
Shape Modeling
 Variational Mesh Deformations
 Important for many computer graphics
and shape modeling applications:
computer game industry, etc.
 Local (easy) and global (difficult)
 Our approach:
 Skeleton-based shape deformations
 Use Voronoi Diagram for skeleton
extraction from mesh
 Use mesh flows for resolving local
and global mesh self-intersections
AIM@SHAPE
NIG Kick-Off Meeting
Darmstadt, 18.03.2004
Multi-res modeling for view-dependent rendering
Uniform resolution: 12701 triangles
Variable resolution: 3065 triangles
AIM@SHAPE
NIG Kick-Off Meeting
Darmstadt, 18.03.2004
Multiresolution iconic model
 A single model that spans several levels
of detail
 Possibility of extracting iconic models at
a desired level of detail
 Level of detail variable in space and
time
AIM@SHAPE
NIG Kick-Off Meeting
Darmstadt, 18.03.2004
Object decomposition
Maximum sphere
Skeleton
Voronoi graph Skeleton approximation
AIM@SHAPE
NIG Kick-Off Meeting
Darmstadt, 18.03.2004
Shape Modeling and
Scientific Visualization
 Local decision whether a local modification
changes the global topology of a vector field
 Repeated topology-preserving half-edge
collapse for piecewise linear vector fields
a)
12.725 triangles
　
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