ISVC
2010
Springer
13 years 11 months ago
2010
Springer
Abstract. We have performed segmentation procedures on a large number of images from two mammalian cell lines that were seeded at low density, in order to study trends in the segme...
ISVC
2010
Springer
13 years 11 months ago
2010
Springer
Abstract. In this paper, we present a novel graph, sub-graph and supergraph based face representation which captures the facial shape changes and deformations caused due to pose ch...
ISVC
2010
Springer
13 years 11 months ago
2010
Springer
SIFT is one of the most popular algorithms to extract points of interest from images. It is a scale+rotation invariant method. As a consequence, if one compares points of interest ...
ISVC
2010
Springer
13 years 11 months ago
2010
Springer
We present a novel framework to reliably learn scene entry and exit locations using coherent motion regions formed by weak tracking data. We construct “entities” from weak trac...
ISVC
2010
Springer
13 years 11 months ago
2010
Springer
We extend our previous work on the exploration of static metabolic networks to evolving, and therefore dynamic, pathways. We apply our visualization software to data from a simulat...
ISVC
2010
Springer
13 years 11 months ago
2010
Springer
Dealing with multi-object tracking in a particle filter raises several issues. A first essential point is to model possible interactions between objects. In this article, we repr...
ISVC
2010
Springer
13 years 11 months ago
2010
Springer
An experimental analysis of three acquisition scenarios for face recognition at a distance is reported, namely: close, medium, and far distance between camera and query face, the t...
ISVC
2010
Springer
13 years 11 months ago
2010
Springer
In this paper, we propose an automatic learning method for gesture recognition. We combine two different pattern recognition techniques: the SelfOrganizing Map (SOM) and Support Ve...
ISVC
2010
Springer
13 years 11 months ago
2010
Springer
Abstract. We have developed a new semi-automated method for segmenting images of biological cells seeded at low density on tissue culture substrates, which we use to improve the ge...
ISVC
2010
Springer
13 years 11 months ago
2010
Springer
This paper describes a method to minimize the immense training time of the conventional Adaboost learning algorithm in object detection by reducing the sampling area. A new algorit...