Reconstructing Evolving Tree Structures in Time Lapse Sequences by Enforcing Time-Consistency

Glowacki, Przemyslaw; Pinheiro, Miguel Amavel; Mosinska, Agata; Turetken, Engin; Lebrecht, Daniel; Holtmaat, Anthony; Sznitman, Raphael; Kybic, Jan; Fua, Pascal (2018). Reconstructing Evolving Tree Structures in Time Lapse Sequences by Enforcing Time-Consistency. IEEE transactions on pattern analysis and machine intelligence, 40(3), pp. 755-761. IEEE Computer Society 10.1109/TPAMI.2017.2680444

[img] Text
paper_1.pdf - Published Version
Restricted to registered users only
Available under License Publisher holds Copyright.

Download (805kB) | Request a copy

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.

Item Type:

Journal Article (Original Article)

Division/Institute:

10 Strategic Research Centers > ARTORG Center for Biomedical Engineering Research > ARTORG Center - AI in Medical Imaging Laboratory

UniBE Contributor:

Sznitman, Raphael

Subjects:

600 Technology > 620 Engineering

ISSN:

0162-8828

Publisher:

IEEE Computer Society

Language:

English

Submitter:

Raphael Sznitman

Date Deposited:

08 Nov 2017 09:57

Last Modified:

05 Dec 2022 15:07

Publisher DOI:

10.1109/TPAMI.2017.2680444

PubMed ID:

28333621

BORIS DOI:

10.7892/boris.105251

URI:

https://boris.unibe.ch/id/eprint/105251

Actions (login required)

Edit item Edit item
Provide Feedback