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» Image Segmentation Using Local Variation
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IJON
2008
186views more  IJON 2008»
13 years 10 months ago
Computational analysis and learning for a biologically motivated model of boundary detection
In this work we address the problem of boundary detection by combining ideas and approaches from biological and computational vision. Initially, we propose a simple and efficient ...
Iasonas Kokkinos, Rachid Deriche, Olivier D. Fauge...
JMIV
2006
128views more  JMIV 2006»
13 years 10 months ago
General Adaptive Neighborhood Image Processing:
The so-called General Adaptive Neighborhood Image Processing (GANIP) approach is presented in a two parts paper dealing respectively with its theoretical and practical aspects. The...
Johan Debayle, Jean-Charles Pinoli
ECCV
2004
Springer
14 years 1 months ago
Efficient Initialization for Constrained Active Surfaces, Applications in 3D Medical Images
A novel method allowing simplified and efficient active surface initialization for 3D images segmentation is presented. Our method allows to initialize an active surface through si...
Roberto Ardon, Laurent D. Cohen
ICIAR
2004
Springer
14 years 3 months ago
A Fast Probabilistic Bidirectional Texture Function Model
The bidirectional texture function (BTF) describes rough texture appearance variations due to varying illumination and viewing conditions. Such a function consists of thousands of ...
Michal Haindl, Jirí Filip
IBPRIA
2003
Springer
14 years 3 months ago
Robust Extraction of Vertices in Range Images by Constraining the Hough Transform
We describe a technique for extracting vertices from range images of cluttered box-like objects. Edge detection is performed and an edge map is acquired. Extraction of vertices is ...
Dimitrios Katsoulas