---
title: "Recognition Of An Object in A Stack Of Industrial Parts"
authors:
  - "Saburo Tsuji"
  - "Akira Nakamura"
doi: ""
url: "https://ijcai.org/proceedings/1975/129"
pdf: "https://ijcai.org/proceedings/1975/0129.pdf"
venue: "Proceedings of the Fourth International Joint Conference on Artificial Intelligence"
year: 1975
pages: "811-817"
track: "Robots And Productivity Technology"
keywords:
---

# Recognition Of An Object in A Stack Of Industrial Parts

Saburo Tsuji, Akira Nakamura

*Proceedings of the Fourth International Joint Conference on Artificial Intelligence*, pages 811-817.

## Abstract

This paper describes a method for analyzing an input scene of a stack of industrial parts in order to recognize an object which is not obscured by others. Detecting a simple familiar pattern such as an ellipse in a set of strong feature points, an analyzer selects models of the machine parts from the attributes of other featu .re points around the pattern under the constraints of the proposed models. Finally one of the models is verified through processes of matching the detailed structures of the models to the less obvious feature points.