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Dimensionality reduction-based building recognition

Jing Li, +1 more
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TLDR
A building recognition scheme is proposed, which integrates biologically-inspired feature extraction and dimensionality reduction and demonstrates that the proposed scheme can achieve satisfactory results.
Abstract
Object recognition is being paid more and more attention in computer vision research and a variety of algorithms have been put forward to enhance the recognition performance. However, building recognition, a relatively specific recognition task, is still at a preliminary stage of development, because the challenging task includes rotation, scaling, illumination changes, occlusion, etc. A building recognition scheme is proposed in this paper, which integrates biologically-inspired feature extraction and dimensionality reduction. Experiments undertaken on our own constructed building database demonstrate that our proposed scheme can achieve satisfactory results.

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