In mobile collaborative applications, collaborators may move across heterogeneous environments. This paper proposes object models for seamless transition of collaborators across h...
A program’s object model captures the essence of its design. For some programs, no object model was developed during design; for others, an object model exists but may be out-of...
In contrast to classical object-oriented electromechanical modeling, i.e. describing plates, suspensions, drives etc. [4], this paper proposes to combine models of basic physical ...
This paper presents a metric based on information theory principles that compares 3D object models to images. The metric is based on the formulation of the mutual information betw...
An X-to-O mapping takes an XML schema as input and returns an object model as output; this object model is meant for programmatic, schema-aware access to XML data. The provision o...
Abstract. The complexity of visual representations is substantially limited by the compositional nature of our visual world which, therefore, renders learning structured object mod...
— We present an algorithm for learning 3D object models from partial object observations. The input to our algorithm is a sequence of 3D laser range scans. Models learned from th...
Michael Ruhnke, Bastian Steder, Giorgio Grisetti, ...
Abstract. The problem of searching for a model-based scene interpretation is analyzed within a probabilistic framework. Object models are formulated as generative models for range ...
We propose an approach to activity recognition based on detecting and analyzing the sequence of objects that are being manipulated by the user. In domains such as cooking, where m...
Object models based on bag-of-words representations can achieve state-of-the-art performance for image classification and object localization tasks. However, as they consider obje...