We perform the classification of ancient Roman Republican coins via recognizing their
reverse motifs where various objects, faces, scenes, animals, and buildings are minted …

Local region description of multi-sensor images remains a challenging task in remote
sensing image analysis and applications due to the non-linear radiation variations between …

We propose an approach for the automatic coarse alignment of 3D point clouds which have
been acquired from various platforms. The method is based on 2D keypoint matching …

Classification of ancient coins is a substantial part of numismatic research which needs a
large amount of expert knowledge due to the high number of classes to be considered. In …

We present a new recognition framework for ancient coins struck from the same die. It is
called Low-complexity Arrays of Patch Signatures. To overcome the problem of illumination …

Die analysis is an essential numismatic method, and an important tool of ancient economic
history. Yet, manual die studies are too labor-intensive to comprehensively study large …

In this paper, we address the registration of historical WWII images to present-day ortho-
photo maps for the purpose of geolocalization. Due to the challenging nature of this …

Many robotics applications nowadays use cameras for various task such as place
recognition, localization, mapping etc. These methods heavily depend on image descriptors …

Accepted: 13 November 2019 Image category recognition is important to access visual
information on the level of objects and scene types. In this paper, we propose a new …

Purpose Detection of feature points in medical ultrasound (US) images is the starting point of
many clinical tasks, such as segmentation of lesions in pathological areas, estimation of …