Alfred M. Bruckstein, Bart M. ter Haar Romeny, Alexander M. Bronstein, Michael M. Bronstein (Eds.):
Scale Space and Variational Methods in Computer Vision - Third International Conference, SSVM 2011, Ein-Gedi, Israel, May 29 - June 2, 2011, Revised Selected Papers.
Lecture Notes in Computer Science 6667 Springer 2012, ISBN 978-3-642-24784-2
3. SSVM 2011:
Denoising and Enhancement (O1 and O5)
: Either Fit to Data Entries or Locally to Prior: The Minimizers of Objectives with Nonsmooth Nonconvex Data Fidelity and Regularization.
Dorit S. Hochbaum
: An Efficient and Effective Tool for Image Segmentation, Total Variations and Regularization.
Image Representation and Invariants (O3)
: Should We Search for a Global Minimizer of Least Squares Regularized with an ℓ0 Penalty to Get the Exact Solution of an under Determined Linear System?
Shape Analysis (O4)
, Jozef Urbán
: 3D Curve Evolution Algorithm with Tangential Redistribution for a Fully Automatic Finding of an Ideal Camera Path in Virtual Colonoscopy.
Optical Flow (O6)
: Regularization of Positive Definite Matrix Fields Based on Multiplicative Calculus.