Content-adaptive pyramid representation for 3d object classification
T Kounalakis, NV Boulgouris…�- …�conference on image�…, 2016 - ieeexplore.ieee.org
2016 IEEE international conference on image processing (ICIP), 2016•ieeexplore.ieee.org
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�…
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�…
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.
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