By Topic

Darboux frames, snakes, and super-quadrics: geometry from the bottom up

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
F. P. Ferrie ; McGill Res. Center for Intelligent Machines, Montreal, Que., Canada ; J. Lagarde ; P. Whaite

A representational and a computational model for deriving 3-D articulated volumetric descriptions of objects from laser rangefinder data is described. This method is purely bottom up: it relies on general assumptions cast in terms of differential geometry. Darboux frames, snakes, and superquadrics form the basis of this representation, and curvature consistency provides the computational framework. The organization is hierarchical. Darboux frames are used to describe the local surface, whereas snakes are used to interpolate between features, particularly those that serve to partition a surface into its constituent parts. Superquadrics are used to characterize the 3-D shape of each surface partition. The result is a set of connected volumetric primitives that serve to describe the overall shape of an object. Examples that show how the approach performs on data acquired with a laser rangefinder are included

Published in:

IEEE Transactions on Pattern Analysis and Machine Intelligence  (Volume:15 ,  Issue: 8 )