A fast evaluation criterion for the recognition of occluded shapes
Robotics and Autonomous Systems
Farthest point distance: A new shape signature for Fourier descriptors
Image Communication
Invariant curvature-based Fourier shape descriptors
Journal of Visual Communication and Image Representation
Incorporating shape into spatially-aware adaptive object segmentation algorithm
Proceedings of the Fifth International C* Conference on Computer Science and Software Engineering
Learning-based object segmentation using regional spatial templates and visual features
ICCVG'12 Proceedings of the 2012 international conference on Computer Vision and Graphics
A shape-based layout descriptor for classifying spatial relationships in handwritten math
Proceedings of the 2013 ACM symposium on Document engineering
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A shape descriptor has been developed which can describe a shape independent of its translation, rotation, and scaling. The description is in the form of a matrix and it is obtained by a polar quantization of a shape. The quantization process takes into consideration not only a shape's outer geometry but its inner geometry as well. The descriptor is information preserving and if the quantization parameters are selected properly, it is possible to reconstruct an original shape from its description. In this technique, shape discrimination is possible by a simple EXCLUSIVE-OR operation on shape descriptions.