Sentence examples for mean shift technique from inspiring English sources

The energy functional in the higher dimensional space obtains the region parameters through the weighted kernel function by utilising mean shift technique.

The mean shift technique considers its feature space as an empirical probability density function.

The core of the system is given by the parallel extension of the mean shift algorithm, which we accelerated by utilizing an abridging technique that can also be used in existing parallel mean shift techniques, such as [17, 18, 30], and a recursive sampling scheme that can narrow the complexity of the feature space, and is applicable in other solutions [18, 19] as well.

A mean shift segmentation technique gave the best results, but for real-time constraints we simply implemented an image quantification method based on the HSL colour system.

Mean shift-based techniques have been shown to be capable of estimating the local density gradients of similar pixels.

Although mean shift is a good technique to find the dominant modes, it is computationally intensive (time complexity: O(Tn2), where T is the number of iterations, and n is the number of features) and sensitive to parameters like the Gaussian kernel bandwidth.

Mean shift is a robust technique which has been used in many computer vision tasks.

The core of the tracking unit, named GMM-SAMT, is a shape adaptive mean shift- (SAMT-) based tracking technique, which uses Gaussian mixture models to adapt the kernel to the object shape.

This technique is adapted from the mode seeking mean shift algorithm [23] which is frequently used for unsupervised clustering of data.

The performance of the mean shift algorithm increases dramatically when applied to the image cleaned by the semantic deconvolution technique described in Section 2.3.

This chart is able to detect two-sided mean shifts and increasing variance shifts by inspecting the absolute value of sample mean shift.