This paper deals with the matching of geometric objects including points, curves, surfaces, and subvolumes using implicit object representations in both linear and non-linear sett...
Alex D. Leow, Henry S. C. Huang, Hillary Protas, L...
The problem of automatic recognition of human activities is among the most important and challenging open areas of research in Computer Vision. This paper presents a new approach ...
Arcangelo Distante, I. Gnoni, Marco Leo, Paolo Spa...
An automated technique to segment solar coronal loops from intensity images of the Sun's corona is introduced. It exploits physical characteristics of the solar magnetic fiel...
The notion of local features in space-time has recently been proposed to capture and describe local events in video. When computing space-time descriptors, however, the result may...
This paper presents a new criterion for viewpoint selection in the context of active Bayesian object recognition and pose estimation. Recognition is performed by probabilistically...
In this paper we address the problem of multimodal registration of coronary vessels by developing a 3D parametrical model of vessel trees from computer tomography data and registe...
Georg Langs, Petia Radeva, David Rotger, Francesc ...
In contemporary TV news programs, multi-level anchorpersons are often used which indicate the inherent hierarchical structure of news program. However, these diverse anchorperson ...
The shapes occurring in the images are important in the content-based image retrieval. In this paper we introduce a new Fourier-based descriptor for the characterization of the sh...
The Symmetry Set (??) and its subset the Medial Axis (? ), can be used to describe a shape. The representation of the ?? in parameter space is called the pre-Symmetry Set. Changes...
This paper describes the training of classifiers entirely based on virtual images, rendered by a ray-tracing software. Two classifiers, a support vector machine and a polynomial c...