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WSCG
2004

Fast Segmentation and Modeling of Range Data Via Steerable Pyramid and Superquadrics

9 years 2 months ago
Fast Segmentation and Modeling of Range Data Via Steerable Pyramid and Superquadrics
This paper focuses on a fast and effective model for range images segmentation and modeling. The first phase is based on the well-known Simoncelli's steerable pyramid, useful to distinguish image information from noise. Gradient modulus and phase information is then exploited for achieving edges characterizing objects. Modeling is faced through superquadrics recovery. In this case a fast and simple procedure to estimate their free parameters is proposed. Achieved results on simple objects show that our model is simple, fast and robust to noise. Keywords Range image segmentation, Geometric modeling, Steerable pyramid, Superquadrics.
Vittoria Bruni, Domenico Vitulano, Umberto Manisca
Added 31 Oct 2010
Updated 31 Oct 2010
Type Conference
Year 2004
Where WSCG
Authors Vittoria Bruni, Domenico Vitulano, Umberto Maniscalco
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