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research:vslam:ldso [2018/09/18 14:23] Nikolaus Demmel |
research:vslam:ldso [2018/10/06 22:25] Rui Wang |
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**Contact: | **Contact: | ||
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===== Abstract ===== | ===== Abstract ===== | ||
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These constraints are fused with a co-visibility graph of relative poses extracted from DSO's sliding window optimization. | These constraints are fused with a co-visibility graph of relative poses extracted from DSO's sliding window optimization. | ||
Our evaluation on publicly available datasets demonstrates that the modified point selection strategy retains the tracking accuracy and robustness, and the integrated pose-graph optimization significantly reduces the accumulated rotation-, translation- and scale-drift, | Our evaluation on publicly available datasets demonstrates that the modified point selection strategy retains the tracking accuracy and robustness, and the integrated pose-graph optimization significantly reduces the accumulated rotation-, translation- and scale-drift, | ||
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+ | ===== Code ===== | ||
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+ | You can find the code for LDSO under a GPL license at https:// | ||
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- | ===== Code ===== | ||
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- | You can find the code for LDSO under a GPL license at https:// |