Sentence examples for orientation histograms from inspiring English sources

weighted gradient orientation histograms.

In [2], local orientation histograms are computed.

Finally, all the orientation histograms are concatenated in order to construct the final features vector (e).

Generation of keypoint descriptor: A set of orientation histograms are created on 4×4 pixel neighborhoods.

Orientation histograms with 36 bins are calculated for the remaining key points.

A key-point descriptor includes the orientation histograms from the neighborhood of the key point.

As a result, the orientation histogram has 36 bins.

The highest peak of the orientation histogram describes the key point orientation.

The descriptor is constructed from a vector containing the values of all the orientation histogram entries.

The vector of the components of this weighted gradient orientation histogram is used as a descriptor.

By analyzing the orientation histogram, we can easily find the principal axis' orientation of the rotated face.