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. - 1979. - 40(2018), 3 vom: 16. März, Seite 755-761
1. Verfasser: Glowacki, Przemyslaw (VerfasserIn)
Weitere Verfasser: Pinheiro, Miguel Amavel, Mosinska, Agata, Turetken, Engin, Lebrecht, Daniel, Sznitman, Raphael, Holtmaat, Anthony, Kybic, Jan, Fua, Pascal
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2018
Zugriff auf das übergeordnete Werk:IEEE transactions on pattern analysis and machine intelligence
Schlagworte:Journal Article Research Support, Non-U.S. Gov't
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520 |a 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 reconstructing structures of interest in each image independently. We formulate the problem as a Quadratic Mixed Integer Program and demonstrate the additional robustness that comes from using all available visual clues at once, instead of working frame by frame. Furthermore, when the linear structures undergo local changes over time, our approach automatically detects them 
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700 1 |a Mosinska, Agata  |e verfasserin  |4 aut 
700 1 |a Turetken, Engin  |e verfasserin  |4 aut 
700 1 |a Lebrecht, Daniel  |e verfasserin  |4 aut 
700 1 |a Sznitman, Raphael  |e verfasserin  |4 aut 
700 1 |a Holtmaat, Anthony  |e verfasserin  |4 aut 
700 1 |a Kybic, Jan  |e verfasserin  |4 aut 
700 1 |a Fua, Pascal  |e verfasserin  |4 aut 
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