Sciweavers

Share
BMVC
2010

Active 3D Segmentation through Fixation of Previously Unseen Objects

8 years 2 months ago
Active 3D Segmentation through Fixation of Previously Unseen Objects
We present an approach for active segmentation based on integration of several cues. It serves as a framework for generation of object hypotheses of previously unseen objects in natural scenes. Using an approximate Expectation-Maximisation method, the appearance, 3D shape and size of objects are modelled in an iterative manner, with fixation used for unsupervised initialisation. To better cope with situations where an object is hard to segregate from the surface it is placed on, a flat surface model is added to the typical two hypotheses used in classical figure-ground segmentation. The framework is further extended to include modelling over time, in order to exploit temporal consistency for better segmentation and to facilitate tracking.
Mårten Björkman, Danica Kragic
Added 10 Feb 2011
Updated 10 Feb 2011
Type Journal
Year 2010
Where BMVC
Authors Mårten Björkman, Danica Kragic
Comments (0)
books