Abstract:
The problem of 2-D shape description, particularly with contour partitioning, grouping, and classification in terms of straight and curved, based on the minimum descripti...Show MoreMetadata
Abstract:
The problem of 2-D shape description, particularly with contour partitioning, grouping, and classification in terms of straight and curved, based on the minimum description length (MDL) criterion and shape-fitting techniques, is discussed. The MDL criterion is used to detect outliers in connection with shape fitting. Using the MDL criterion, it is possible to derive for a given data set and a class of models a description which best explains the data. A new algorithm for fitting 2-D points to an ellipse is presented.<>
Published in: 1993 (4th) International Conference on Computer Vision
Date of Conference: 11-14 May 1993
Date Added to IEEE Xplore: 06 August 2002
Print ISBN:0-8186-3870-2
