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» Outlier-Robust Convex Segmentation
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CVPR
2010
IEEE
15 years 2 months ago
Co-clustering of Image Segments Using Convex Optimization Applied to EM Neuronal Reconstruction
This paper addresses the problem of jointly clustering two segmentations of closely correlated images. We focus in particular on the application of reconstructing neuronal structu...
Shiv Vitaladevuni, Ronen Basri
89
Voted
IPCV
2008
15 years 1 months ago
A Faster-converging Algorithm for Image Segmentation with a Modified Chan-Vese Model
We propose an algorithm for segmentation of grayscale images. Our algorithm computes a solution to the convex, unconstrained minimization problem proposed by T. Chan, S. Esedo
Rick Chartrand, Valentina Staneva
IWCIA
2009
Springer
15 years 5 months ago
What Does Digital Straightness Tell about Digital Convexity?
Abstract. The paper studies local convexity properties of parts of digital boundaries. An online and linear-time algorithm is introduced for the decomposition of a digital boundary...
Tristan Roussillon, Laure Tougne, Isabelle Sivigno...
ICMCS
2005
IEEE
111views Multimedia» more  ICMCS 2005»
15 years 6 months ago
Enhancing curvature scale space features for robust shape classification
The curvature scale space (CSS) technique, which is also part of the MPEG-7 standard is a robust method to describe complex shapes.The central idea is to analyze the curvature of ...
Stephan Kopf, Thomas Haenselmann, Wolfgang Effelsb...
105
Voted
CVPR
2010
IEEE
15 years 19 days ago
GPCA with denoising: A moments-based convex approach
This paper addresses the problem of segmenting a combination of linear subspaces and quadratic surfaces from sample data points corrupted by (not necessarily small) noise. Our mai...
Necmiye Ozay, Mario Sznaier, Constantino M. Lagoa,...