Search for information about monuments, business establishments and façades is a recurring task for travelers and citizens of large cities. However, even when the person is in front of the place of interest, the language and the inaccuracy of the GPS receivers integrated in mobile phones may make it difficult the precise identification of the site. We present a tool that is capable to identify ...

Motion estimation is one of the most important processes of video compression standards that affect the quality and compression ratio of encoded video stream. In this paper we present a motion estimation algorithm, which is based on ASIFT method. We segment foreground objects into regions by exploiting features which are obtained on the object. Motion model of a region is determined according t...

In contrast to minutiae features, local invariant features extracted from infrared palm vein have properties of scale, translation and rotation invariance. To determine how they can be best used for palm vein recognition system, this paper conducted a comprehensive comparative study of three local invariant feature extraction algorithms: Scale Invariant Feature Transform (SIFT), Speeded-Up Robu...

Thanks to the recent diffusion of low-cost high-resolution digital cameras and to the development of mostly automated procedures for image-based 3D reconstruction, the popularity of photogrammetry for environment surveys is constantly increasing in the last years. Automatic feature matching is an important step in order to successfully complete the photogrammetric 3D reconstruction: this step i...

The objective of this paper is the fully automated visual identification of individual Holstein Friesian cattle from dorsal RGB-D imagery taken in real-world farm environments. Autonomous and non-intrusive cattle identification could provide an essential tool for economically-viable machinised farming analytics, social monitoring, cattle traceability, food production management and more. We con...