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Entire reflective object surface structure understanding based on reflection motion estimation
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AI
DOI：10.1016/j.patrec.2015.09.006.png)
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Abstract
En 中文
The presence of reflection on a surface has been a long-standing problem for object recognition since it brings negative effects on object's color, texture and structural information. Because of that, it is not a trivial task to recognize the surface structure affected by the reflection, especially when the object is entirely reflective. Most of the cases, reflection is considered as noise. In this paper, we propose a novel method for entire reflective object sub-segmentation by transforming the reflection motion into object surface label. To the best of our knowledge, the segmentation of entirely reflective surfaces has not been studied. The experimental results on specular and transparent objects show that the surface structures of the reflective objects can be revealed and the segmentation based on the surface structure outperforms the approaches in literature. (C) 2015 Elsevier B.V. All rights reserved.
Keywords:
Entire reflective object
Sub-segmentation
Surface structure understanding
Reflection motion features
Elementary continuous surface
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