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Fig. 5 Shape context example.
To obtain the shape context descriptor of the contour, we need to compute the shape context descriptor for every single point of the contour.
The average accuracy for three activities is 81.5% with or without the shape context features.
Table 3 compares the performance with and without the shape context features.
Table 2 shows the best classification result for the skating dataset with shape context features.
Table 4 shows the best performance achieved with shape context features.
Shape context descriptors were first introduced by Belongie et al. [24].
The performance is considerably better when the features are augmented with their associated shape context descriptors.
Similar(3)
shape contexts.
In order to compute the similarity between two shape contexts, different distance methods may be applied.
We adopt the robust shape contexts descriptor to construct the matching function.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com