Affordance Detection of Tool Parts from Geometric Features
@ICRA 2015 背景介绍 Affordence 解释：Affordence 本文提出从定位和几何原语提出两种方法学习Affordence：基于高像素的层次匹配（S-HMP）和结构化随机森林（SRF）。 S-HMP 深度特征：首先应用平滑和插值算子来减少噪声和失去的深度值。然后，从块中减去平均值获得深度绝对变化的鲁帮性。这些块直接用HMP学习层次稀疏编码字典。第一层，HMP捕捉原始结构像变化方
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相关文章
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