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SaddleSURF: A saddle based interest point detector (2012)

Publication Type : Conference Proceedings

Publisher : Springer

Source : In Mathematical Modeling and Scientific Computation, Springer, p.413-420 (2012)

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Campus : Coimbatore

School : School of Engineering

Department : Computer Science

Verified : Yes

Year : 2012

Abstract : This paper presents a modified Speeded Up Robust Features (SURF) with feature point detector based on scale space saddle points. Most of the feature detectors like Scale Invariant Feature Transform (SIFT), Principal Component Analysis (PCA)–SIFT and SURF are based on extrema points i.e. local maxima and minima. This work aims at utilizing the saddle points for panorama stitching which is a common and direct application for feature matching. Here Euclidean distance of descriptor is used to find the correct matches. Experiments to test the performance are done on Oxford affine covariant dataset and compared the performance with that of SURF.

Cite this Research Publication : and Dr. Shunmuga Velayutham C., “SaddleSURF: A saddle based interest point detector (2012)”, In Mathematical Modeling and Scientific Computation. Springer, pp. 413-420, 2012.

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