Tinker Toy Recognition from 2D Connectivity,

Abstract

An end-to-end system has been built as a preliminary investigation into structure based object recognition in the tinker toy world. The system successfully performs constant time topological matching of TV input to a multiple-object model base. Object recognition can occur without reconstruction of the component surfaces, as evidenced by the recognizability of line drawings and silhouettes. We are investigating the use of object structure as a recognition cue. For example, many people will first view Figure 1 as an arbitrary collection of line segments. But once having been told that this is a sketch of a bicycle, the structural information attached to bicycles is sufficient to make this a recognizable rendition. Having accepted the premise that object recognition is based on structural cues, the need arises for a more precise definition of the term 'structure'. For the purposes of this document, we define object structure to be the spatial relations between the primitive components making up the object. The need also arises for a domain in which the primative components making up the object. The need also arises for a domain in which the primitive components of an object are easily extracted. One such domain is the tinker toy world. Tinker toys consist of wheels connected by rods that fit into eight radial holes and tow axial holes in the wheels. This paper describes an end-to-end system that takes a picture of a tinker toy, performs a structural analysis of the picture and matches the resulting structure to a model base of tinker toy principal views.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1986
Accession Number
ADA179408

Entities

People

  • Susan Hollbach

Organizations

  • University of Rochester

Tags

Communities of Interest

  • Biomedical
  • C4I
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Acquisition
  • Cartesian Coordinates
  • Cognitive Science
  • Computer Science
  • Computer Vision
  • Geometry
  • Health Services
  • Lepidoptera
  • New York
  • Object Recognition
  • Public Health
  • Recognition
  • Rods
  • Simulators
  • Three Dimensional
  • Two Dimensional

Readers

  • Artificial Intelligence
  • Electrical Engineering
  • Systems Analysis and Design