Reconstructing Evolving Tree Structures in Time Lapse Sequences

Przemyslaw Glowacki, Miguel Amavel Pinheiro, Engin Turetken, Raphael Sznitman, Daniel Lebrecht, Jan Kybic, Anthony Holtmaat, Pascal Fua
2014 2014 IEEE Conference on Computer Vision and Pattern Recognition  
We propose an approach to reconstructing tree structures that evolve over time in 2D images and 3D image stacks such as neuronal axons or plant branches. Instead of reconstructing structures in each image independently, we do so for all images simultaneously to take advantage of temporal-consistency constraints. We show that this problem can be formulated as a Quadratic Mixed Integer Program and solved efficiently. The outcome of our approach is a framework that provides substantial
more » ... tantial improvements in reconstructions over traditional single time-instance formulations. Furthermore, an added benefit of our approach is the ability to automatically detect places where significant changes have occurred over time, which is challenging when considering large amounts of data.
doi:10.1109/cvpr.2014.388 dblp:conf/cvpr/GlowackiPTSLKHF14 fatcat:o2ammsv7zrcfpgodfqsregiiju