Efficient and accurate fitting of Active Appearance
Models (AAM) is a key requirement for many applications.
The most efficient fitting algorithm today is Inverse Compositional
...
Brian Amberg (University of Basel), Andrew Blake (...
This article proposes a novel similarity measure between
vector sequences. Recently, a model-based approach was
introduced to address this issue. It consists in modeling
each se...
This paper covers a fundamental problem of local phase
based signal processing: the isotropic generalization of the
classical 1D analytic signal to two dimensions. The well
know...
Lennart Wietzke (Kiel University), Gerald Sommer (...
Over the past decade, multiple-instance learning (MIL)
has been successfully utilized to model the localized
content-based image retrieval (CBIR) problem, in which a
bag corresp...
Wu-Jun Li (Hong Kong University of Science and Tec...
In this paper, we present an enhanced Pictorial Struc-
ture (PS) model for precise eye localization, a fundamen-
tal problem involved in many face processing tasks. PS is
a comp...
Xiaoyang Tan (Nanjing University of Aeronautics an...
Statistical approaches for building non-rigid deformable
models, such as the Active Appearance Model (AAM), have
enjoyed great popularity in recent years, but typically require
...
Akshay Asthana (Australian National University), R...
We present a new method for detecting interest points
using histogram information. Unlike existing interest point
detectors, which measure pixel-wise differences in image
intens...
Wei-Ting Lee (National Tsing Hua University), Hwan...
Detection of visually salient image regions is useful for
applications like object segmentation, adaptive compression,
and object recognition. In this paper, we introduce
a meth...
Radhakrishna Achanta, Sheila S. Hemami, Francisco ...
Many computer vision problems can be formulated in
a Bayesian framework with Markov Random Field (MRF)
or Conditional Random Field (CRF) priors. Usually, the
model assumes that ...
Several recently-proposed architectures for highperformance
object recognition are composed of two main
stages: a feature extraction stage that extracts locallyinvariant
feature...
Koray Kavukcuoglu, Marc'Aurelio Ranzato, Rob Fergu...