Sentence examples for using a confidence map from inspiring English sources

Since the reconstructed ( widehat{mathbf{F}} ) is not robust to strong movement turbulence, Borenstein et al. have proposed in [19] an algorithm to achieve an excellent image segmentation performance by using a confidence map to identify the image region.

Then, the reconstructed video sequence is used to estimate a confidence map to refine the foreground reconstruction result.

Then, we use the reconstructed video sequence to estimate a confidence map, which is used to further refine the foreground reconstruction result.

A confidence map is used to determine which pixels have more surrounding information available.

Then, we use the reconstructed video sequence to estimate a confidence map to improve the foreground reconstruction result.

Inspired by this idea, we use the reconstructed video sequence ( widehat{mathbf{X}} ) to construct a confidence map denoted as O = [o 1, o 2 …, o T ], where the element of O is 0 or 1.

The strong classifier is then used to label pixels in the next frame as either belonging to the object or the background, creating a confidence map.

A confidence map is established according to the results of SVM discriminant connected area.

In addition, a confidence map is presented based on cluster membership derived from cluster distance in attribute space.

Figure  4 shows an example of a confidence map for a given input image.

Using a world map, show where the Philippines is located.