Automatic detection of anatomical landmarks is an important step for a wide range of
applications in medical image analysis. Manual annotation of landmarks is a tedious task …

Abstract The 2013 iBUG 300-W Challenge [25] tests the ability of participants' software to
locate landmarks in unseen images of faces. We approach the challenge with Active Shape …

Abstract Active Shape Model (ASM) is a statistical model of object shapes that represents a
target structure. ASM can guide machine learning algorithms to fit a set of points …

Age estimation and face verification across aging are important problems with a wide range
of applications. It is well known that age and identity information are encoded in both texture …

Measuring facial traits by quantitative means is a prerequisite to investigate epidemiological,
clinical, and forensic questions. This measurement process has received intense attention in …

In this paper, we present a novel approach to automatic 3D facial landmarking using 2D
Gabor wavelets. Our algorithm considers the face to be a surface and uses map projections …

Landmarking of CT scans is an important step in the alignment of skulls that is key in surgery
planning, pre-/post-surgery comparisons, and morphometric studies. We present a novel …

This paper deals with a diagnostic software-based self-test program for multiplexer based
components in a processor. These are in particular the read ports of a multi-ported register …

Facial Makeup Detection Using HSV Color Space and Texture Analysis In recent decades,
2D and 3D face analyses in digital systems have become increasingly important because of …

This thesis presents techniques for locating landmarks in images of human faces. A modified
Active Shape Model (ASM [21]) is introduced that uses a form of SIFT descriptors [68] …