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DEXAW
1998
IEEE
118views Database» more  DEXAW 1998»
13 years 8 months ago
New Object Models for Seamless Transition across Heterogeneous Mobile Environments
In mobile collaborative applications, collaborators may move across heterogeneous environments. This paper proposes object models for seamless transition of collaborators across h...
Anjaneyulu Pasala, D. Janaki Ram
ICSE
1999
IEEE-ACM
13 years 8 months ago
Lightweight Extraction of Object Models from Bytecode
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...
Daniel Jackson, Allison Waingold
BMAS
2000
IEEE
13 years 9 months ago
Combining Models of Physical Effects for Describing Complex Electromechanical Devices
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 ...
Lars M. Voßkämper, Rainer Schmid, Georg...
ICPR
2002
IEEE
13 years 9 months ago
Mutual Information Based Evaluation of 3D Building Models
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...
Ildiko Suveg, George Vosselman
PEPM
2007
ACM
13 years 10 months ago
Style normalization for canonical X-to-O mappings
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...
Ralf Lämmel
EMMCVPR
2007
Springer
13 years 10 months ago
Compositional Object Recognition, Segmentation, and Tracking in Video
Abstract. The complexity of visual representations is substantially limited by the compositional nature of our visual world which, therefore, renders learning structured object mod...
Björn Ommer, Joachim M. Buhmann
ICRA
2009
IEEE
137views Robotics» more  ICRA 2009»
13 years 11 months ago
Unsupervised learning of 3D object models from partial views
— 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, ...
ECCV
2002
Springer
14 years 6 months ago
Probabilistic Search for Object Segmentation and Recognition
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 ...
Ulrich Hillenbrand, Gerd Hirzinger
ICCV
2007
IEEE
14 years 6 months ago
A Scalable Approach to Activity Recognition based on Object Use
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...
Jianxin Wu, Adebola Osuntogun, Tanzeem Choudhury, ...
CVPR
2008
IEEE
14 years 6 months ago
Combining appearance models and Markov Random Fields for category level object segmentation
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...
Diane Larlus, Frédéric Jurie