In recent years, large databases of natural images have
become increasingly popular in the evaluation of face and
object recognition algorithms. However, Pinto et al. previously
...
This paper discusses the question: Can we improve the recognition of objects by using their spatial context? We start from Bag-of-Words models and use the Pascal 2007 dataset. We u...
Arnold W. M. Smeulders, Jasper R. R. Uijlings, Rem...
We generalize reflection symmetry detection to a curved
glide-reflection symmetry detection problem. We propose
a unifying, local feature-based approach for curved glidereflectio...
Global shape information is an effective top-down complement
to bottom-up figure-ground segmentation as well
as a useful constraint to avoid drift during adaptive tracking.
We p...
A Bayesian marked point process (MPP) model is developed
to detect and count people in crowded scenes. The
model couples a spatial stochastic process governing number
and placem...
Head pose and eye location estimation are two closely
related issues which refer to similar application areas. In
recent years, these problems have been studied individually
in ...
One of the principal bottlenecks in applying learning techniques to classification problems is the large amount of labeled training data required. Especially for images and video, ...
Ajay J. Joshi, Fatih Porikli, Nikolaos Papanikolop...
The ability to constrain the geometry of deformable models for image segmentation can be useful when information about the expected shape or positioning of the objects in a scene i...
We propose a method to control the luminance distribution on a scene by modeling the light propagation with direct and indirect components separately. To reduce the measurement tim...
We propose a method to accurately measure the shape
of objects by suppressing the effect of indirect reflection caused by the interreflection
and subsurface scattering. We use a ...