RoFace: A robust face representation approach for accurate classification.

The recent development of technological applications has made it inevitable to replicate human eyesight talents artificially and the issues requiring particular attention in the ideas of solutions increase in proportion to the number of applications. Facial classification in admittance restriction and video inspection is typically amidst the open-ended applications, where suitable models have been offered to meet users' needs. While it is true that subsequent efforts have led to the proposal of powerful facial recognition models, limiting factors affecting the quality of the results are always considered.

Detection of linear features in synthetic-aperture radar images by use of the localized Radon transform and prior information.

A new linear-features detection method is proposed for extracting straight edges and lines in synthetic-aperture radar images. This method is based on the localized Radon transform, which produces geometrical integrals along straight lines. In the transformed domain, linear features have a specific signature: They appear as strongly contrasted structures, which are easier to extract with the conventional ratio edge detector.