Analyzing DGI-BS: properties and performance under occlusion and noise
International Conference on Advanced Concepts for Intelligent Vision Systems, 2007•Springer
This paper analyzes a new 3D recognition method for occluded objects in complex scenes.
The technique uses the Depth Gradient Image Based on Silhouette representation (DGI-BS)
and settles the problem of identification-pose under occlusion and noise requirements. DGI-
BS synthesizes both surface and contour information avoiding restrictions concerning the
layout and visibility of the objects in the scene. Firstly, the paper is devoted to show the main
properties of this method compared with a set of known techniques as well as to explain …
The technique uses the Depth Gradient Image Based on Silhouette representation (DGI-BS)
and settles the problem of identification-pose under occlusion and noise requirements. DGI-
BS synthesizes both surface and contour information avoiding restrictions concerning the
layout and visibility of the objects in the scene. Firstly, the paper is devoted to show the main
properties of this method compared with a set of known techniques as well as to explain …
Abstract
This paper analyzes a new 3D recognition method for occluded objects in complex scenes. The technique uses the Depth Gradient Image Based on Silhouette representation (DGI-BS) and settles the problem of identification-pose under occlusion and noise requirements. DGI-BS synthesizes both surface and contour information avoiding restrictions concerning the layout and visibility of the objects in the scene. Firstly, the paper is devoted to show the main properties of this method compared with a set of known techniques as well as to explain briefly the key concepts of the DGI-BS representation. Secondly, the performance of this strategy in real scenes under occlusion and noise circumstances is presented in detail.
Springer
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