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» Level Set Methods for Watershed Image Segmentation
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GECCO
2010
Springer
189views Optimization» more  GECCO 2010»
14 years 1 months ago
Knowledge mining with genetic programming methods for variable selection in flavor design
This paper presents a novel approach for knowledge mining from a sparse and repeated measures dataset. Genetic programming based symbolic regression is employed to generate multip...
Katya Vladislavleva, Kalyan Veeramachaneni, Matt B...
ICCV
2007
IEEE
14 years 3 months ago
Parsing Images of Architectural Scenes
We address image parsing in the setting of architectural scenes. Our goal is to parse an image into regions of various types such as sky, foliage, buildings, and street. Furthermo...
Alexander C. Berg, Floraine Grabler, Jitendra Mali...
ICIP
2004
IEEE
14 years 10 months ago
Elliptic arc vectorization for 3d pie chart recognition
In this paper, we present a novel approach to vectorize elliptic arcs for 3D pie chart recognition and data extraction. As a preprocessing step, a set of straight line segments ar...
Weihua Huang, Chew Lim Tan, Wee Kheng Leow
CVPR
2005
IEEE
14 years 11 months ago
Wide-Baseline Stereo Matching with Line Segments
We present a new method for matching line segments between two uncalibrated wide-baseline images. Most current techniques for wide-baseline matching are based on viewpoint invaria...
Herbert Bay, Vittorio Ferrari, Luc J. Van Gool
SMI
2007
IEEE
164views Image Analysis» more  SMI 2007»
14 years 3 months ago
Topology driven 3D mesh hierarchical segmentation
In this paper, we propose to address the semanticoriented 3D mesh hierarchical segmentation problem, using enhanced topological skeletons [18]. This high level information drives ...
Julien Tierny, Jean-Philippe Vandeborre, Mohamed D...