After the AIM@SHAPE project, the use of semantics
attracted the research community, spurring
the development of smarter tools to analyze
shapes. An increasing number of papers in the
computer graphics communities now mention the
term semantics. Symmetries, repeating patterns,
skeletonizing, and so on have been proposed over
the years as instruments to sort out low-level geometric
data into more structured and semanticsoriented
representations of 3D models. Shapes
started to be analyzed not only as single objects,
but also as instances within an object category,
giving raise to the co-analysis and co-segmentation
needed to understand and organize the variability
observed in shape categories. Recently, ever more
work points to bridging the gap between geometry/
structure and semantics, with various papers tackling
the recognition of object functionality,8
modeling
with natural language modifiers,9
and even
the affordance analysis of objects in their interactions
with humans.
After the AIM@SHAPE project, the use of semanticsattracted the research community, spurringthe development of smarter tools to analyzeshapes. An increasing number of papers in thecomputer graphics communities now mention theterm semantics. Symmetries, repeating patterns,skeletonizing, and so on have been proposed overthe years as instruments to sort out low-level geometricdata into more structured and semanticsorientedrepresentations of 3D models. Shapesstarted to be analyzed not only as single objects,but also as instances within an object category,giving raise to the co-analysis and co-segmentationneeded to understand and organize the variabilityobserved in shape categories. Recently, ever morework points to bridging the gap between geometry/structure and semantics, with various papers tacklingthe recognition of object functionality,8 modelingwith natural language modifiers,9 and eventhe affordance analysis of objects in their interactionswith humans.
การแปล กรุณารอสักครู่..
