---
title: "Combining Structural Descriptions and Image-based Representations for Image, Object, and Scene Recognition"
authors:
  - "Nicolas Do Huu"
  - "Williams Paquier"
  - "Raja Chatila"
doi: ""
url: "https://ijcai.org/proceedings/2005/189"
pdf: "https://ijcai.org/proceedings/2005/0189.pdf"
venue: "Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence"
year: 2005
pages: "1452-1456"
track: ""
keywords:
---

# Combining Structural Descriptions and Image-based Representations for Image, Object, and Scene Recognition

Nicolas Do Huu, Williams Paquier, Raja Chatila

*Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence*, pages 1452-1456.

## Abstract

Object and scene learning and recognition is a major issue in computer vision, in robotics and in cognitive sciences. This paper presents the principles and results of an approach which extracts structured view-based representations for multi-purpose recognition. The structures are hierarchical and distributed and provide for generalization and categorization. A tracking process enables to bind views over time and to link consecutive views. Scenes can also be recognized using objects as components. Illustrative results are presented.