Year: 2011
Type: article
Abstract: 3-D Model Characterization and Identification from Intrinsic LandmarksA method to automatically characterize and identify 3-D range scans based on intrinsic landmarks is presented.Intrinsic landmarks represent locally unique, intrinsic properties of a scanned surface, regardless of scale or rotation.The number, location, and characteristics of landmarks are used to characterize the scanned models.This method contains a selection process to identify stable, intrinsic landmarks for range scans as well as the identification of those scans.The selection process requires no user interaction or surface assumptions.It uses the principal curvatures at the range points to select the landmarks.First, a large number of landmarks are generated by fitting a bicubic polynomial surface to points surrounding each range point and calculating the principal curvatures at the range point.Points of locally extremum principal curvature are then considered candidate landmarks.Using a random sample and consensus (RANSAC) algorithm, candidate landmarks that match with landmarks in other scans of the same subject are selected as final, stable landmarks.Our main goal is to provide a means to characterize models in a range data base.With several scans of each subject available in the data base, a number of stable landmarks are determined for each subject.The locations and characteristics of the landmarks are used to describe a subject and distinguish it from other subjects.The
Author: John Camp
Institution: Wright State University
Language: English
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W2519550842