The interest on acquiring player and ball data during soccer games is increasing in several domains such as media or training. Consequently, tracking systems are becoming widely used for live data gathering. However, due to costs, stadium infrastructure, media rights etc. there is a trend for stand-alone mobile low-cost soccer tracking systems. The drawback of such systems is that generally onl...

The study of sign languages provides a wide field of applications for computer vision systems, but the analysis of such gestures often leads to complex 3D reconstructions or to ambiguities. In this paper, we describe the architecture of an image analysis system that performs sign language analysis by using a prediction/verification approach. The system integrates a model of the sign language’s ...

Terrain representation is one of the most common tasks in visualization of geoinformation. In order to realistically visualize the real landscape, several issues have to be addressed, in particular, how to combine terrain meshes and texture images. In this paper, Level of Detail (LoD) is used to treat both terrain meshes and texture images for producing realistic visualization with better perfo...

Digital watermarking is the enabling technology to prove ownership on copyrighted material, detect originators of illegally made copies, monitor the usage of the copyrighted multimedia data and analyze the spread spectrum of the data over networks and servers. Embedding of unique customer identification as a watermark into data is called fingerprinting to identify illegal copies of documents. B...

We explore the task of determining the geographic location of photos on Flickr, using combined evidence from Naive Bayes classifiers that are trained at different spatial resolutions. In particular, we estimate the location of Flickr photos, based on their tags, at four different scales, ranging from a city-level granularity to fine-grained intra-city areas. Using Dempster-Shafer’s evidence the...

A combination of several classifiers using global features for the content description of medical images is proposed. Beside well known texture histogram features, downscaled representations of the original images are used, which preserve spatial information and utilize distance measures which are robust regarding common variations in radiation dose, translation, and local deformation. These fe...

This paper proposes a method for simultaneous segmentation of multi-source images, using the multivariate mixture model (MvMM) and maximum of log-likelihood (LL) framework. The segmentation is a procedure of texture classification, and the MvMM is used to model the joint intensity distribution of the images. Specifically, the method is applied to the myocardial segmentation combining the comple...

This paper presents a process combining range and intensity based techniques, in order to get better 3D models than those obtained using these techniques separately. The procedure needs an initial estimation for internal and external camera parameters for two or more intensity images. The technique uses passive triangulation to refine initial camera calibrations and ensure a good registration o...

A new method for roof plane detection using multiple aerial images and a point cloud is presented. It takes advantage of the fact that segmentation results for different views look different even if the same parameters are used for the original segmentation algorithm. The point cloud can be generated by image matching or by airborne laserscanning. Plane detection starts by a segmentation that i...

Single image calibration is a fundamental task in photogrammetry and computer vision. It is known that camera constant and principal point can be recovered using exclusively the vanishing points of three orthogonal directions. Yet, three reliable and well-distributed vanishing points are not always available. On the other hand, two vanishing points basically allow only estimation of the camera ...