Robust Variational Segmentation of 3D Objects from Multiple Views

By Kalin S. Kolev, Thomas Brox, Daniel Cremers. 2006

35 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Computer Vision and Pattern Recognition

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Aerospace Engineering

1. Daniel Cremers
2. Andreas Geiger
3. Thomas Brox
4. Lars M. Mescheder
5. Michael Niemeyer
6. Michael Oechsle
7. Marc Pollefeys
8. Sebastian Nowozin

In Computer Vision and Pattern Recognition

1. Andreas Geiger
2. Luc Van Gool
3. Jitendra Malik
4. Ming-Hsuan Yang
5. Andrea Vedaldi
6. Dacheng Tao
7. Xiaogang Wang
8. Trevor Darrell

Citations in the corpus

• Occupancy Networks: Learning 3D Reconstruction in Function Space (2018, background): “This idea is related to classical level set [10, 14, 50] approaches to multi-view 3D reconstruction [18,24,32,40,53,78].”
• Continuous Global Optimization in Multiview 3D Reconstruction (2007, background): “To this end, we introduced in (Kolev et al., 2006) the conditional probabilities for observing intensities I l (π l (x)) in images 1, ..., n as P obj (x) := P ( {I l (π l (x))} l=1,...,n | x ∈ R S obj ) P bck (x) := P ( {I l (π l (x))} l=1,...,n | x ∈ R S bck ).”