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BMVC
1998

Efficient Dense Matching for Textured Scenes using Region Growing

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Efficient Dense Matching for Textured Scenes using Region Growing
We present a simple and efficient dense matching method based on region growing techniques, which can be applied to a wide range of globally textured images like many outdoor scenes. Our method can deal with non-rigid scenes and large camera motions. First a few highly distinctive features like points or areas are extracted and matched. These initial matches are then used in a correlation-based region growing step which propagates the matches in textured and more ambiguous regions of the images. The implementation of the algorithm is also given and is demonstrated on real image pairs.
Maxime Lhuillier
Added 01 Nov 2010
Updated 01 Nov 2010
Type Conference
Year 1998
Where BMVC
Authors Maxime Lhuillier
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