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ICRA
2002
IEEE

Probabilistic Shape and Appearance Model for Scene Segmentation

9 years 4 months ago
Probabilistic Shape and Appearance Model for Scene Segmentation
Effective image segmentation of a digitized scene into a set of recognizable objects requires the development of sophisticated scene analysis algorithms. Progress in this area has been made through the development of a statistical-based deformable model that improves upon existing point distribution models (PDMs) for boundary-based object segmentation. Existing PDM boundary finding techniques often suffer from the shortcoming that global shape and gray-level information are treated independently during boundary optimization. A new deformable model algorithm is under development in which the objective function used during optimization of the boundary encompasses several important characteristics. Most importantly the objective function includes both shape and gray-level characteristics, so optimization occurs with respect to both pieces of information simultaneously. This new algorithm has been applied to geometric test images and a simple industrial-type scene for which results are pr...
Shaun S. Gleason, Mongi A. Abidi, Hamed Sari-Sarra
Added 15 Jul 2010
Updated 15 Jul 2010
Type Conference
Year 2002
Where ICRA
Authors Shaun S. Gleason, Mongi A. Abidi, Hamed Sari-Sarraf
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