In this paper, a new segmentation technique for multivalued images is elaborated. The technique accesses multiscale edge information of a multivalued image by a concept, called multiscale fundamental form. At different scales, an edge map of the multivalued images is obtained, at which a watershed-based algorithm is applied. The multiscale behavior of the obtained watershed regions is employed ...

In this paper we present a novel method to combine partial texture mappings of arbitrary surfaces by using surface flattening. Partial texture maps can be obtained from optical images of an object acquired from different viewpoints. Combining optical images into a complete texture map that covers the entire object is not trivial. Surface flattening preserves the structure of a 3D mesh and conve...

The simultaneous autolocalization and mapping of the environment is one of the most pressing problems of robotics. Among the existing SLAM algorithms, place recognition is a must for several cases. As an example, in multirobot SLAM we have several individual maps created by various robots. In order to combine them into one global map we have to identify common places before merging them. In thi...

This paper presents a formalization for Topic Maps (TM). We first simplify TMRM, the current ISO standard proposal for a TM reference model and then characterize topic map instances. After defining a minimal merging operator for maps we propose a formal foundation for a TM query language. This path expression language allows us to navigate through given topic maps and to extract information. We...

In this paper we propose utilizing of topic maps as an integration tool for Connexions1 content aiming at creating more subject-oriented, knowledgebased ways of connecting resources in the Connexions repository. We discuss to what extent and how open content, including metadata, may be extracted from Connexions e-learning modules and mapped onto topic maps using XSLT transformations and how thi...

Depth maps obtained from commercially available structured-light stereo based depth cameras, such as the Kinect, are easy to use but are affected by significant amounts of noise. This paper is devoted to a study of the intrinsic noise characteristics of such depth maps, i.e. the standard deviation of noise in estimated depth varies quadratically with the distance of the object from the depth ca...