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Communication Dans Un Congrès Année : 2010

Multiscale Keypoint Analysis based on Complex Wavelets

Résumé

We describe a new multiscale keypoint detector and a set of local visual descriptors, both based on the efficient Dual-Tree Complex Wavelet Transform. The detector has properties and performance similar to multiscale Förstner-Harris detectors. The descriptor provides efficient rotation-invariant matching. We evaluate the method, comparing it to a previous wavelet based approach and to several conventional detectors and descriptors on a new dataset designed for the automatic evaluation of 3D viewpoint invariance. The dataset contains over 4000 images of toy cars on a turntable under accurately calibrated conditions. Both it and the evaluation software are publicly available. Overall the method gives performance competitive with existing Harris-like detectors.
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Dates et versions

hal-00565021 , version 1 (10-02-2011)

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Pashmina Bendale, William Triggs, Nick Kingsbury. Multiscale Keypoint Analysis based on Complex Wavelets. BMVC 2010 - British Machine Vision Conference, Aug 2010, Aberystwyth, United Kingdom. pp.49.1-49.10, ⟨10.5244/C.24.49⟩. ⟨hal-00565021⟩
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