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» Application of Level Set Methods in Computer Vision
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ECCV
2008
Springer
16 years 8 months ago
Contour Context Selection for Object Detection: A Set-to-Set Contour Matching Approach
Abstract. We introduce a shape detection framework called Contour Context Selection for detecting objects in cluttered images using only one exemplar. Shape based detection is inva...
Qihui Zhu, Liming Wang, Yang Wu, Jianbo Shi
CAIP
1999
Springer
143views Image Analysis» more  CAIP 1999»
15 years 10 months ago
Frame-Relative Critical Point Sets in Image Analysis
Abstract. We propose a new computational method for segmenting topological sub-dimensional point-sets in scalar images of arbitrary spatial dimensions. The technique is based on co...
Stiliyan Kalitzin, Joes Staal, Bart M. ter Haar Ro...
ICPR
2006
IEEE
16 years 7 months ago
Ancient Initial Letters Indexing
Discrimination of images is necessary in many tasks, either understanding or indexing for example. Here we are concerned by indexing. More precisely we are working about initial l...
Nicole Vincent, Rudolf Pareti
CVPR
2008
IEEE
16 years 8 months ago
Adaptive parametrization of multivariate B-splines for image registration
We present an adaptive parametrization scheme for dynamic mesh refinement in the application of parametric image registration. The scheme is based on a refinement measure ensuring...
Michael Sass Hansen, Rasmus Larsen, Ben Glocker, N...
ICCV
2009
IEEE
15 years 4 months ago
SCRAMSAC: Improving RANSAC's efficiency with a spatial consistency filter
Geometric verification with RANSAC has become a crucial step for many local feature based matching applications. Therefore, the details of its implementation are directly relevant...
Torsten Sattler, Bastian Leibe, Leif Kobbelt