Dimensionality reduction-based building recognition

Li, Jing and Allinson, Nigel (2009) Dimensionality reduction-based building recognition. In: 9th IASTED International Conference on Visualization, Imaging, and Image Processing, VIIP 2009, 13-15 July 2009, Cambridge, UK.

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Item Type:Conference or Workshop contribution (Paper)
Item Status:Live Archive

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.

Keywords:Building recognition, Dimensionality reduction, Illumination changes, Recognition performance, Specific recognition, Buildings, Computer vision, Imaging systems, Visualization, Feature extraction
Subjects:G Mathematical and Computer Sciences > G400 Computer Science
G Mathematical and Computer Sciences > G740 Computer Vision
Divisions:College of Science > School of Computer Science
ID Code:8541
Deposited On:10 Apr 2013 14:21

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