Guided Feature Selection for Deep Visual Odometry

25 Nov 2018Fei XueQiuyuan WangXin WangWei DongJunqiu WangHongbin Zha

We present a novel end-to-end visual odometry architecture with guided feature selection based on deep convolutional recurrent neural networks. Different from current monocular visual odometry methods, our approach is established on the intuition that features contribute discriminately to different motion patterns... (read more)

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