Learning spatial relationships between objects
Although a manipulator must interact with objects in terms of their full complexity, it is the
qualitative structure of the objects in an environment and the relationships between them …
qualitative structure of the objects in an environment and the relationships between them …
Ontology-based context representation and reasoning for object tracking and scene interpretation in video
Computer vision research has been traditionally focused on the development of quantitative
techniques to calculate the properties and relations of the entities appearing in a video …
techniques to calculate the properties and relations of the entities appearing in a video …
Context-based scene recognition from visual data in smart homes: an information fusion approach
Abstract Ambient Intelligence (AmI) aims at the development of computational systems that
process data acquired by sensors embedded in the environment to support users in …
process data acquired by sensors embedded in the environment to support users in …
On the complexity of submap isomorphism and maximum common submap problems
Generalized maps describe the subdivision of objects in cells and are widely used to model
2D and 3D images. In this context, several pattern recognition tasks involve solving submap …
2D and 3D images. In this context, several pattern recognition tasks involve solving submap …
There are plenty of places like home: Using relational representations in hierarchies for distance-based image understanding
Understanding images in terms of logical and hierarchical structures is crucial for many
semantic tasks, including image retrieval, scene understanding and robotic vision. This …
semantic tasks, including image retrieval, scene understanding and robotic vision. This …
Communication in distributed tracking systems: an ontology‐based approach to improve cooperation
Current Computer Vision systems are expected to allow for the management of data
acquired by physically distributed cameras. This is especially the case for modern …
acquired by physically distributed cameras. This is especially the case for modern …
[PDF][PDF] A Relational Distance-based Framework for Hierarchical Image Understanding.
Understanding images in terms of hierarchical and logical structures is crucial for many
semantic tasks, including image retrieval, scene understanding and robotic vision. This …
semantic tasks, including image retrieval, scene understanding and robotic vision. This …
[PDF][PDF] Irregular Laplacian Graph Pyramid
D Shao, LA Mateos, WG Kropatsch - PDF). Computer Vision Winter …, 2010 - prip.tuwien.ac.at
This paper presents a novel image representation, which incorporates the principles of
Laplacian Pyramid into the irregular graph pyramid. The drawback of the regular Laplacian …
Laplacian Pyramid into the irregular graph pyramid. The drawback of the regular Laplacian …
Context-based situation recognition in computer vision systems
The availability of visual sensors and the increment of their processing capabilities have led
to the development of a new generation of multi-camera systems. This increment has also …
to the development of a new generation of multi-camera systems. This increment has also …
Learning domain abstractions for long lived robots
BS Rosman - 2014 - researchspace.csir.co.za
Recent trends in robotics have seen more general purpose robots being deployed in
unstructured environments for prolonged periods of time. Such robots are expected to adapt …
unstructured environments for prolonged periods of time. Such robots are expected to adapt …