This chapter provides a general introduction to the main subject matter of this work: multiple
instance or multi-instance learning. The two terms are used interchangeably in the literature …

We present an imaging framework that is able to accurately reconstruct multiple depths at
individual pixels from single-photon observations. Our active imaging method models the …

In this paper, we present a novel approach for fusing shape and texture local binary patterns
(LBPs) on a mesh for 3D face recognition. Using a recently proposed framework, we …

Face recognition, as one of the most successful applications of image analysis, has recently
gained significant attention. It is due to availability of feasible technologies, including mobile …

Most of low cost 3D scanning devices that are nowadays available on the market are sold
without a user calibration procedure to correct measurement errors related to changes in …

This paper presents an alternative real time face recognition using DCT coefficients based
face descriptor. The face descriptor consists of dominant frequency content extracted by …

In this paper, we present a 2D/3D multimodal face identification system. A set of iconic
fiducial points and descriptors is first extracted from the images of the faces and a …

Since soft biometrics traits can provide sufficient evidence to precisely determine the identity
of human, there has been increasing attention for face based soft biometrics identification in …

Although, automatic face recognition has been studied for more than four decades; there are
still some challenging issues due to different variations in face images. There are mainly two …

In this research, a design and implementation of real-time face recognition engine using
compact features vector extracted by linear binary pattern (LBP) and zoned discrete cosine …