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Mar, 2016
LIFT:学习不变特征变换
LIFT: Learned Invariant Feature Transform
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Kwang Moo Yi, Eduard Trulls, Vincent Lepetit, Pascal Fua
TL;DR
介绍一种新颖的深度网络架构,实现了完整的特征点处理流程,包括检测、方向估计和特征描述,并展示了其在多个基准数据集上超过现有方法的性能表现,同时不需要重新训练。
Abstract
We introduce a novel
deep network architecture
that implements the full
feature point handling pipeline
, that is, detection, orientation estimation, and feature description. While previous works have successfully
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