Combining Structural Descriptions and Image-Based Representations for Image, Object, and Scene Recognition
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. 1
Cite
Text
Do Huu et al. "Combining Structural Descriptions and Image-Based Representations for Image, Object, and Scene Recognition." International Joint Conference on Artificial Intelligence, 2005.Markdown
[Do Huu et al. "Combining Structural Descriptions and Image-Based Representations for Image, Object, and Scene Recognition." International Joint Conference on Artificial Intelligence, 2005.](https://mlanthology.org/ijcai/2005/huu2005ijcai-combining/)BibTeX
@inproceedings{huu2005ijcai-combining,
title = {{Combining Structural Descriptions and Image-Based Representations for Image, Object, and Scene Recognition}},
author = {Do Huu, Nicolas and Paquier, Williams and Chatila, Raja},
booktitle = {International Joint Conference on Artificial Intelligence},
year = {2005},
pages = {1452-1457},
url = {https://mlanthology.org/ijcai/2005/huu2005ijcai-combining/}
}