Affordance Detection of Tool Parts from Geometric Features
@ICRA 2015 背景介紹 Affordence 解釋：Affordence 本文提出從定位和幾何原語提出兩種方法學習Affordence：基於高像素的層次匹配（S-HMP）和結構化隨機森林（SRF）。 S-HMP 深度特徵：首先應用平滑和插值算子來減少噪聲和失去的深度值。然後，從塊中減去平均值獲得深度絕對變化的魯幫性。這些塊直接用HMP學習層次稀疏編碼字典。第一層，HMP捕捉原始結構像變化方
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相關文章
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