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IJCV
2000
74views more  IJCV 2000»
13 years 4 months ago
Meaningful Alignments
We propose a method for detecting geometric structures in an image, without any a priori information. Roughly speaking, we say that an observed geometric event is "meaningful&...
Agnès Desolneux, Lionel Moisan, Jean-Michel...
CVPR
2010
IEEE
13 years 2 months ago
Growing semantically meaningful models for visual SLAM
Though modern Visual Simultaneous Localisation and Mapping (vSLAM) systems are capable of localising robustly and efficiently even in the case of a monocular camera, the maps prod...
Alexander Flint, Christopher Mei, Ian D. Reid, Dav...
SAMT
2007
Springer
135views Multimedia» more  SAMT 2007»
13 years 11 months ago
Stopping Region-Based Image Segmentation at Meaningful Partitions
This paper proposes a new stopping criterion for automatic image segmentation based on region merging. The criterion is dependent on image content itself and when combined with the...
Tomasz Adamek, Noel E. O'Connor
CIS
2004
Springer
13 years 10 months ago
Algorithms for Loosely Constrained Multiple Sequence Alignment
For finding accurate and biologically meaningful multiple sequence alignment, it is required to consider a loosely constrained version of multiple sequence alignment. This paper is...
Bin Song, Fengfeng Zhou, Guoliang Chen
ALMOB
2006
106views more  ALMOB 2006»
13 years 5 months ago
Multiple sequence alignment with user-defined anchor points
Background: Automated software tools for multiple alignment often fail to produce biologically meaningful results. In such situations, expert knowledge can help to improve the qua...
Burkhard Morgenstern, Sonja J. Prohaska, Dirk P&ou...