Local Supports Global: Deep Camera Relocalization with Sequence Enhancement

ICCV 2019 Fei XueXin WangZike YanQiuyuan WangJunqiu WangHongbin Zha

We propose to leverage the local information in image sequences to support global camera relocalization. In contrast to previous methods that regress global poses from single images, we exploit the spatial-temporal consistency in sequential images to alleviate uncertainty due to visual ambiguities by incorporating a visual odometry (VO) component... (read more)

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