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This paper presents a novel multi scale gradient and a corner point basedshape descriptors. The novel multi scale gradient based shape descriptor iscombined with generic Fourier descriptors to extract contour and region basedshape information. Shape information based object class detection andclassification technique with a random forest classifier has been optimized.Proposed integrated descriptor in this paper is robust to rotation, scale,translation, affine deformations, noisy contours and noisy shapes. The newcorner point based interpolated shape descriptor has been exploited for fastobject detection and classification with higher accuracy.

Object Class Detection and Classification using Multi Scale Gradient and Corner Point based Shape Descriptors