Authors:
Jameson Reed
;
Mohammad Naeem
and
Pascal Matsakis
Affiliation:
University of Guelph, Canada
Keyword(s):
Relative Positions, Spatial Relationships, Polygon Meshes.
Related
Ontology
Subjects/Areas/Topics:
Applications
;
Computer Vision, Visualization and Computer Graphics
;
Feature Selection and Extraction
;
Image Understanding
;
Knowledge Acquisition and Representation
;
Object Recognition
;
Pattern Recognition
;
Shape Representation
;
Software Engineering
;
Theory and Methods
Abstract:
In daily conversation, people use spatial prepositions to denote spatial relationships and describe relative positions. Various quantitative relative position descriptors can be found in the literature. However, they all have been designed with 2D objects in mind, most of them cannot be extended to handle 3D objects in vector form, and there is currently no implementation able to process such objects. In this paper, we build on a descriptor called the histogram of forces, and we present the first algorithm for quantitative relative position
descriptor calculation in the case of 3D vector objects. Experiments validate the approach.