---
title: "Dynamically Quantized Spaces for Focusing the Hough Transform"
authors:
  - "Joseph O'Rourke"
doi: ""
url: "https://ijcai.org/proceedings/1981/141"
pdf: "https://ijcai.org/proceedings/1981/0141.pdf"
venue: "Proceedings of the Seventh International Joint Conference on Artificial Intelligence"
year: 1981
pages: "737-738"
track: "Vision: Low-level"
keywords:
---

# Dynamically Quantized Spaces for Focusing the Hough Transform

Joseph O'Rourke

*Proceedings of the Seventh International Joint Conference on Artificial Intelligence*, pages 737-738.

## Abstract

A dynamic: data structure is sugested for representing the acc:umulator array uial with a Hough Transform. The structure, called a D,ynamlcaHy ~allllzd Space, allocates resources where they are most 1"-'ed to best discriminate the peak in the parameter space. The effect i:; to focus the Hough Tramform. Such attention control is especially needed when the parameter space has a large number of dimensions.