YES - YEt another object segmentation: Exploiting camera movement

L. Nalpantidis, Mårten Björkman, D. Kragic
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引用次数: 9

Abstract

We address the problem of object segmentation in image sequences where no a-priori knowledge of objects is assumed. We take advantage of robots' ability to move, gathering multiple images of the scene. Our approach starts by extracting edges, uses a polar domain representation and performs integration over time based on a simple dilation operation. The proposed system can be used for providing reliable initial segmentation of unknown objects in scenes of varying complexity, allowing for recognition, categorization or physical interaction with the objects. The experimental evaluation on both self-captured and a publicly available dataset shows the efficiency and stability of the proposed method.
是的-另一个对象分割:利用相机运动
我们解决了图像序列中目标分割的问题,其中没有假设对象的先验知识。我们利用机器人的移动能力,收集场景的多个图像。我们的方法从提取边缘开始,使用极域表示,并基于简单的扩展操作执行随时间的积分。所提出的系统可用于在不同复杂性的场景中提供可靠的未知物体初始分割,允许识别,分类或与物体的物理交互。在自捕获数据集和公开数据集上的实验评估表明了该方法的有效性和稳定性。
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