Shape signatures of fuzzy star-shaped sets based on distance from the centroid
Pattern Recognition Letters
On Signature Invariants for Effective Motion Trajectory Recognition
International Journal of Robotics Research
Farthest point distance: A new shape signature for Fourier descriptors
Image Communication
Motion trajectory reproduction from generalized signature description
Pattern Recognition
Probabilistic cluster signature for modeling motion classes
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
Adaptive local threshold with shape information and its application to object segmentation
ROBIO'09 Proceedings of the 2009 international conference on Robotics and biomimetics
Functional data analysis in shape analysis
Computational Statistics & Data Analysis
Shape description by bending invariant moments
CAIP'11 Proceedings of the 14th international conference on Computer analysis of images and patterns - Volume Part I
An approach to perceptual shape matching
VISUAL'05 Proceedings of the 8th international conference on Visual Information and Information Systems
Shape matching using chord-length function
IDEAL'06 Proceedings of the 7th international conference on Intelligent Data Engineering and Automated Learning
Multiscale Corner Detection in Planar Shapes
Journal of Mathematical Imaging and Vision
Shape description from generalized support functions
Pattern Recognition Letters
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In this paper, a systematic review of various contour functions and methods of their analysis, as applied in the field of shape description and characterization, is presented. Contour functions are derived from planar object outlines and are used as an intermediate representation from which various shape properties can be obtained. All the functions are introduced and analyzed following the same scheme, thus making it possible to compare various representations. Although only a small subset of contour functions is included in the survey (cross-section, radius-vector, support, width, parametric, complex, tangent-angle, curvature, polynomial, and parametric cubic), the paper demonstrates a multitude of techniques for shape description that are based on this approach. Several analysis tools, such as statistics, line moments and invariants, Fourier and other series expansions, curvature scale space image, wavelet, and Radon transform are described.