Marching cubes: A high resolution 3D surface construction algorithm
SIGGRAPH '87 Proceedings of the 14th annual conference on Computer graphics and interactive techniques
Curvature-based approach to point correspondence recovery in conformal nonrigid motion
CVGIP: Image Understanding
Parametrization of closed surfaces for 3-D shape description
Computer Vision and Image Understanding
Shock Graphs and Shape Matching
International Journal of Computer Vision
Shape Matching and Object Recognition Using Shape Contexts
IEEE Transactions on Pattern Analysis and Machine Intelligence
Recognition of Shapes by Editing Their Shock Graphs
IEEE Transactions on Pattern Analysis and Machine Intelligence
Shape Classification Using the Inner-Distance
IEEE Transactions on Pattern Analysis and Machine Intelligence
Euclidean eccentricity transform by discrete arc paving
DGCI'08 Proceedings of the 14th IAPR international conference on Discrete geometry for computer imagery
Shape representation and classification using the Poisson equation
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Representation and detection of deformable shapes
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
The eccentricity transform (of a digital shape)
DGCI'06 Proceedings of the 13th international conference on Discrete Geometry for Computer Imagery
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To find corresponding points in different poses of the same articulated shape, a non rigid coordinate system is used. Each pixel of each shape is identified by a pair of distinct coordinates. The coordinates are used to address corresponding points. This paper proposes a solution to a discretization problem identified in a previous approach. The polar like coordinate system is computed in a space where the problem cannot occur, followed by mapping the computed coordinates to pixels.