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

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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.

Nicolas Do Huu, Williams Paquier, and Raja Chatila. 2005. Combining Structural Descriptions and Image-based Representations for Image, Object, and Scene Recognition. In Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, IJCAI-05. IJCAI, 1452–1456. https://ijcai.org/proceedings/2005/189
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