A practical solution to corner detection

Author

Wang, Han ; Brady, Michael

Author_Institution

Sch. of Electr. & Electron. Eng., Nanyang Technol. Inst., Singapore

Volume

1

fYear

1994

fDate

13-16 Nov 1994

Firstpage

919

Abstract

A new corner detection algorithm has been developed based on the observation of surface curvature. The algorithm utilizes a linear interpolation scheme for intermediate pixel addressing in the differentiation step, which results in improved accuracy of corner localisation and reduced computational complexity. Noise is reduced by a combination of Gaussian convolution, non-maximum suppression and false corner response suppression. The corner finder is applied to computing stereo disparities and structures from motion. It is implemented on a hybrid parallel processor PARADOX with a performance of 14 frames per second

Keywords

Gaussian processes; computational complexity; convolution; differentiation; edge detection; interpolation; parallel processing; Gaussian convolution; PARADOX; corner detection algorithm; corner finder; corner localisation; differentiation; false corner response suppression; hybrid parallel processor; intermediate pixel addressing; linear interpolation; motion; noise reduction; non-maximum suppression; performance; reduced computational complexity; stereo disparities; stereo structures; surface curvature; Convolution; Detectors; Event detection; Gaussian noise; Image edge detection; Integrated circuit noise; Laplace equations; Noise reduction; Robots; Smoothing methods;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 1994. Proceedings. ICIP-94., IEEE International Conference

Conference_Location

Austin, TX

Print_ISBN

0-8186-6952-7

Type

conf

DOI

10.1109/ICIP.1994.413446

Filename

413446