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20112023
most citedA graph cut approach to 3D tree delineation, using integrated airborne LiDAR and hyperspectral imagery

7 citations · 9 across the 6 of their papers we have counts for

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5 papers · 1 filter

cs.CV2020

Deformable Groupwise Image Registration using Low-Rank and Sparse Decomposition

Roland Haase, Stefan Heldmann, Jan Lellmann

Low-rank and sparse decompositions and robust PCA (RPCA) are highly successful techniques in image processing and have recently found use in groupwise image registration. In this p…

cs.CV2018

Fully-deformable 3D image registration in two seconds

Daniel Budelmann, Lars König, Nils Papenberg +1

We present a highly parallel method for accurate and efficient variational deformable 3D image registration on a consumer-grade graphics processing unit (GPU). We build on recent m…

cs.CV2018

A matrix-free approach to parallel and memory-efficient deformable image registration

Lars König, Jan Rühaak, Alexander Derksen +1

We present a novel computational approach to fast and memory-efficient deformable image registration. In the variational registration model, the computation of the objective functi…

cs.CV20177 cited

A graph cut approach to 3D tree delineation, using integrated airborne LiDAR and hyperspectral imagery

Juheon Lee, David Coomes, Carola-Bibiane Schonlieb +6

Recognising individual trees within remotely sensed imagery has important applications in forest ecology and management. Several algorithms for tree delineation have been suggested…

cs.CV2011

Continuous Multiclass Labeling Approaches and Algorithms

Jan Lellmann, Christoph Schnörr

We study convex relaxations of the image labeling problem on a continuous domain with regularizers based on metric interaction potentials. The generic framework ensures existence o…