Sentence examples for shape contexts from inspiring English sources

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.

CC contour coordinates, SC shape contexts, FD Fourier descriptors, LM landmarks, LM-SC shape contexts over landmarks, ED Euclidean distance, DTW dynamic time warping and SVM support vector machine Fig. 10 DET curves for SVM classifier.

CC contour coordinates, SC shape contexts, FD Fourier descriptors, LM landmarks, LM-SC shape contexts over landmarks, ED Euclidean distance, DTW dynamic time warping and SVM support vector machine Fig. 9 DET curves for DTW classifier.

In the case of shape contexts, we subsampled the contour down to 50 points and then obtained the shape contexts features for this subset, obtaining a vector of 300 components.

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.