Research >> Dynamic scenes and 3D change detection
Dynamic scenes and 3D change detection
Building a model of a scene from a series of 3D scans taken from
different viewpoints and at different times is a difficult problem. A
major challenge is that objects in the scene may move (or be moved)
between different scans. Points in the scan from these objects should
be highlighted or removed, and the final reconstruction should only
contain the static components of the scene. Our approach is a hybrid
of surface and volumetric representations, and we have recently made
substantial progress on a new representation based on point-set
surfaces.
Faculty:
Chuck Stewart 
Daniel Freedman 
Rich Radke 
Students:
Eric Smith 
Brad King 
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