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ECCV
2008
Springer

ASN: Image Keypoint Detection from Adaptive Shape Neighborhood

9 years 5 months ago
ASN: Image Keypoint Detection from Adaptive Shape Neighborhood
Abstract. We describe an accurate keypoint detector that is stable under viewpoint change. In this paper, keypoints correspond to actual junctions in the image. The principle of ASN differs fundamentally from other keypoint detectors. At each position in the image and before any detection, it systematically estimates the position of a potential junction from the local gradient field. Keypoints then appear where multiple position estimates are attracted. This approach allows the detector to adapt in shape and size to the image content. One further obtains the area where the keypoint has attracted solutions. Comparative results with other detectors show the improved accuracy and stability with viewpoint change.
Jean-Nicolas Ouellet, Patrick Hébert
Added 15 Oct 2009
Updated 15 Oct 2009
Type Conference
Year 2008
Where ECCV
Authors Jean-Nicolas Ouellet, Patrick Hébert
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