Authors
Gabor Lukács, Ralph Martin, Dave Marshall
Publication date
1998
Conference
Computer Vision—ECCV'98: 5th European Conference on Computer Vision Freiburg, Germany, June, 2–6, 1998 Proceedings, Volume I 5
Pages
671-686
Publisher
Springer Berlin Heidelberg
Description
This paper addresses a problem arising in the reverse engineering of solid models from depth-maps. We wish to identify and fit surfaces of known type wherever these are a good fit. This paper presents a set of methods for the least-squares fitting of spheres, cylinders, cones and tori to three-dimensional point data. Least-squares fitting of surfaces other planes, even of simple geometric type, has been little studied.
Our method has the particular advantage of being robust in the sense that as the principal curvatures of the surfaces being fitted decrease (or become more equal), the results which are returned naturally become closer and closer to those surfaces of ‘simpler type’, i.e. planes, cylinders, cones, or spheres which best describe the data, unlike other methods which may diverge as various parameters or their combination become infinite.
Total citations
1998199920002001200220032004200520062007200820092010201120122013201420152016201720182019202020212022202320247841019139141317151515921272217222081514151582
Scholar articles
G Lukács, R Martin, D Marshall - Computer Vision—ECCV'98: 5th European Conference …, 1998
G Lukács, AD Marshall, RR Martin - RECCAD, Deliverable document, 1997