Shape Description by Time Series
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Bivariate Autoregressive Technique for Analysis and Classification of Planar Shapes
IEEE Transactions on Pattern Analysis and Machine Intelligence
Generalized Multidimensional Orthogonal Polynomials with Applications to Shape Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
2-D Shape Classification Using Hidden Markov Model
IEEE Transactions on Pattern Analysis and Machine Intelligence
Complex Autoregressive Model for Shape Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
An application of a multimedia cognitive-based information retrieval system (AMCIRS) in mineralogy
CSC '93 Proceedings of the 1993 ACM conference on Computer science
IEEE Transactions on Pattern Analysis and Machine Intelligence
Feature extraction in shape recognition using segmentation of the boundary curve
Pattern Recognition Letters
Shape recognition using spectral features
Pattern Recognition Letters
Online Recognition of Handwritten Hiragana Characters Based Upon a Complex Autoregressive Model
IEEE Transactions on Pattern Analysis and Machine Intelligence
NeTra: a toolbox for navigating large image databases
Multimedia Systems - Special issue on video content based retrieval
On Critical Point Detection of Digital Shapes
IEEE Transactions on Pattern Analysis and Machine Intelligence
Servoing Mechanisms for Peg-In-Hole Assembly Operations
RobVis '01 Proceedings of the International Workshop on Robot Vision
Multiscale Fourier descriptors for defect image retrieval
Pattern Recognition Letters
Farthest point distance: A new shape signature for Fourier descriptors
Image Communication
Model based foot shape classification using 2D foot outlines
Computer-Aided Design
Enhanced fourier shape descriptor using zero-padding
SCIA'05 Proceedings of the 14th Scandinavian conference on Image Analysis
Invariant curvature-based Fourier shape descriptors
Journal of Visual Communication and Image Representation
A new algorithm for two-dimensional object inspection using string matching
Mathematical and Computer Modelling: An International Journal
3D image reconstruction of bladder by nonlinear interpolation
Mathematical and Computer Modelling: An International Journal
Object recognition using a neural network with optimal feature extraction
Mathematical and Computer Modelling: An International Journal
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In this paper, a method of classifying objects is reported that is based on the use of autoregressive (AR) model parameters which represent the shapes of boundaries detected in digitized binary images of the objects. The object identification technique is insensitive to object size and orientation. Three pattern recognition algorithms that assign object names to unlabelled sets of AR model parameters were tested and the results compared. Isolated object tests were performed on five sets of shapes, including eight industrial shapes (mostly taken from the recognition literature), and recognition accuracies of 100 percent were obtained for all pattern sets at some model order in the range 1 to 10. Test results indicate the ability of the technique developed in this work to recognize partially occluded objects. Processing-speed measurements show that the method is fast in the recognition mode. The results of a number of object recognition tests are presented. The recognition technique was realized with Fortran programs, Imaging Technology, Inc. image-processing boards, and a PDP 11/60 computer. The computer algorithms are described.