Reconstructing Evolving Tree Structures in Time Lapse Sequences by Enforcing Time-Consistency
We propose a novel approach to reconstructing curvilinear tree structures evolving over time, such as road networks in 2D aerial images or neural structures in 3D microscopy stacks acquired in vivo. To enforce temporal consistency, we simultaneously process all images in a sequence, as opposed to re...
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Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence 2018-03, Vol.40 (3), p.755-761 |
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