Paper Info
Title
Retrieval of High-Level Data Structures from Stereo Vision Data
Abstract
We describe our intermediate level representation and processing of partial 3D wire frame data, obtained from edge-based stereo depth reconstruction systems. We use a double representation schema, based both on CAD winged-edge-like data-structures and on frames. We also use a goal-oriented grouping mechanism combining a data-drive bottom-up indexing, mainly in the form of a potential connect graph, and a knowledge-driven top-down grouping, whose methods are distributed along the structural hierarchy of the knowledge-base. The best candidate instances of higher-level geometrical structures are sought using these grouping mechanisms. They are then matched against their template-class and, when possible, completed using WFRL [Burbello 1991], a knowledge-based system capable of verifying and imposing constraints on incomplete wire frame structures.
Year
DOI
Venue
1991
10.1007/3-540-54712-6_243
AI*IA
Keywords
Field
DocType
stereo vision data,high-level data structures,top down,knowledge based system,connected graph,knowledge base,stereo vision,bottom up,indexation,data structure,goal orientation
CAD,Stereo cameras,Computer vision,Data structure,Pattern recognition,Stereopsis,Computer science,Search engine indexing,Artificial intelligence,Hierarchy,Schema (psychology),Computer stereo vision
Conference
ISBN
Citations 
PageRank 
3-540-54712-6
0
0.34
References 
Authors
3
4
Name
Order
Citations
PageRank
Fidenzio Burbello100.34
Stephen Pollard2192121.36
John Porrill335285.11
John E. W. Mayhew4233322.10