Robust extraction of surface parameters from multiple view scattered and noisy 3-D measurements is a delicate task. It is shown that a stable local surface description can be extracted on sections where measurement constraints are redundant with respect to a polynomial model. A segmentation approach is developed to identify these sections. The approach is based on a measurement error model which takes into account the sensor's viewpoint. An application of the approach to the extraction of straight line sections from single scan 3-D surface profiles is presented.<>
Scene reconstruction and description: geometric primitive extraction from multiple viewed scattered data
1993-01-01
586987 byte
Conference paper
Electronic Resource
English
British Library Conference Proceedings | 1993
|3D scene reconstruction from multiple intensity images
IEEE | 1989
|Multiple Motion Scene Reconstruction from Uncalibrated Views
British Library Conference Proceedings | 2001
|Scene description using range data
IEEE | 1989
|