Title :
A new decomposition scheme for three-dimensional contours based on curvature and torsion
Author :
Kehtarnavaz, N. ; DeFigueiredo, R.J.P.
Author_Institution :
Rice University, Houston, Texas, USA
Abstract :
This paper presents a new scheme for segmentation of three-dimensional (3D) contours based on a criterion involving their curvature and torsion properties. Curvature indicates how sharply a curve is turning while torsion measures the extent of its twist in 3D space. Also, curvature and torsion completely define a curve in 3D space. For these reasons, the two together have been chosen here as a set of intrinsic and complete structural features of a contour. The Darboux vector Ω contains both these features as its components. We use the length ∥Ω∥ of the Darboux vector, also known as total curvature, as the criterion for segmentation of the contour. Specifically we choose the zero-crossings of d2∥Ω∥/ds2, where s = arc length, as the breakpoints in the segmentation of the contour. The segmentation scheme is described by means of a block diagram which includes filters for calculation of d2∥Ω∥/ds2in terms of appropriate distributional derivatives resulting from the contour parametric equations.
Keywords :
Chebyshev approximation; Computer graphics; Computer vision; Equations; Extraterrestrial measurements; Filters; Object recognition; Pattern recognition; Service robots; Turning;
Conference_Titel :
Robotics and Automation. Proceedings. 1986 IEEE International Conference on
DOI :
10.1109/ROBOT.1986.1087670