Conceptual Spaces for Computer Vision Representations

Authors:
Antonio Chella;Marcello Frixione;Salvatore Gaglio
Affiliations:
Dipartimento di Ingegneria Automatica e Informatica, University of Palermo, Italy and CERE-CNR, Palermo, Italy;Dipartimento di Scienze della Comunicazione, University of Salerno, Italy;Dipartimento di Ingegneria Automatica e Informatica, University of Palermo, Italy and CERE-CNR, Palermo, Italy
Venue:
Artificial Intelligence Review
Year:
2001

Citing 16
Cited 5

Perceptual organization and the representation of natural form

Artificial Intelligence
Recovery of Parametric Models from Range Images: The Case for Superquadrics with Global Deformations

IEEE Transactions on Pattern Analysis and Machine Intelligence
Associative network models for central pattern generators

Methods in neuronal modeling
From Uncertainty to Visual Exploration

IEEE Transactions on Pattern Analysis and Machine Intelligence - Special issue on interpretation of 3-D scenes—part I
Volumetric segmentation of range images of 3D objects using superquadric models

CVGIP: Image Understanding
A computational and evolutionary perspective on the role of representation in vision

CVGIP: Image Understanding
The topology of boundaries

Artificial Intelligence
Geometric modeling (2nd ed.)

Geometric modeling (2nd ed.)
A cognitive architecture for artificial vision

Artificial Intelligence
Superquadrics for Segmenting and Modeling Range Data

IEEE Transactions on Pattern Analysis and Machine Intelligence
Similarity and Symmetry Measures for Convex Shapes Using Minkowski Addition

IEEE Transactions on Pattern Analysis and Machine Intelligence
Advances in kernel methods: support vector learning

Advances in kernel methods: support vector learning
Representation and recognition in vision

Representation and recognition in vision
Neural Networks for Pattern Recognition

Neural Networks for Pattern Recognition
Robot Vision

Robot Vision
Occlusions as a Guide for Planning the Next View

IEEE Transactions on Pattern Analysis and Machine Intelligence

Spatial Models for Wide-Area Visual Surveillance: Computational Approaches and Spatial Building-Blocks

Artificial Intelligence Review
Shape understanding system: 3D interpretation as a part of the visual concept formation

Machine Graphics & Vision International Journal
AN ORDER-k VORONOI APPROACH TO GEOSPATIAL CONCEPT MANAGEMENT WITHIN CONCEPTUAL SPACES

Applied Artificial Intelligence
Semantic image interpretation of gamma ray profiles in petroleum exploration

Expert Systems with Applications: An International Journal
Data mining coupled conceptual spaces for intelligent agents in data-rich environments

KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part IV

Quantified Score

Hi-index	0.00

Visualization

Abstract

A framework for high-level representations in computer visionarchitectures is described.The framework is based on the notion of conceptual space.This approach allows us to define a conceptual semantics for the symbolic representations of the vision system. In this way, the semantics of the symbols can be grounded to the data coming fromthe sensors. In addition, the proposed approach generalizesthe most popular frameworks adopted in computer vision.