Abstract
In this paper we introduce a novel representation for the classification of 3D images. Unlike most current approaches, our representation is not based on a fixed pyramid but adapts to image content and uses image regions instead of rectangular pyramid scales. Image characteristics, such as depth and color, are used for defining regions within images. Multiple region scales are formed in order to construct the proposed pyramid image representation. The proposed method achieves excellent results in comparison to conventional representations.
Original language | English |
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Title of host publication | IEEE International Conference on Image Processing (ICIP), 2016 |
Number of pages | 4 |
Publisher | IEEE |
Publication date | 28 Sept 2016 |
Pages | 231-235 |
ISBN (Print) | 978-1-4673-9962-3 |
ISBN (Electronic) | 978-1-4673-9961-6 |
DOIs | |
Publication status | Published - 28 Sept 2016 |
Event | IEEE International Conference on Image Processing - Arizona, Phoenix, United States Duration: 25 Sept 2016 → 28 Sept 2016 http://2016.ieeeicip.org/ |
Conference
Conference | IEEE International Conference on Image Processing |
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Location | Arizona |
Country/Territory | United States |
City | Phoenix |
Period | 25/09/2016 → 28/09/2016 |
Internet address |