Identity management through biometrics offer potential advantages over knowledge and
possession based methods. A wide variety of biometric modalities have been tested so far …

Recognizing people by their gait has become more and more popular nowadays due to the
following reasons. First, gait recognition can work well remotely. Second, gait recognition …

A number of 3D local feature descriptors have been proposed in the literature. It is however,
unclear which descriptors are more appropriate for a particular application. A good …

3D object recognition in cluttered scenes is a rapidly growing research area. Based on the
used types of features, 3D object recognition methods can broadly be divided into two …

This paper investigates a new approach for the automated human identification using 2D
ear imaging. We present a completely automated approach for the robust segmentation of …

Smart wearable devices have recently become one of the major technological trends and
been widely adopted by the general public. Wireless earphones, in particular, have seen a …

This paper introduces an integrated local surface descriptor for surface representation and
3D object recognition. A local surface descriptor is characterized by its centroid, its local …

The authors discuss the notion of variability. We have experienced that this concept has so
far been underdefined, although we have observed that variability techniques become …

A system is provided in which a person may use a Cellular (Mobile) Telephone, a PDA or
any other handheld computer to make a purchase. This is an example only. The process …

Human recognition with biometrics is a rapidly emerging area of computer vision. Compared
to other well-known biometric features such as the face, fingerprint, iris, and palmprint, the …