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In this paper, we propose a new method of image classification based on SIFT-Gabor-Scale descriptors. At first, we design the patch-based SIFT-Gabor-Scale descriptor by integrating SIFT and Gabor-Scale features. Then a compact image presentation is obtained with the sparse coding spatial pyramid matching (ScSPM) method. Finally, image classification is implemented effectively with the simple linear...
In this paper, we use a new method, which based on the spherical harmonics transform, to extract 3D ear rotation invariant feature from 3D ear data. And a 3D ear recognition system was built through matching ear spherical harmonics feature, which is rotation invariant in mathematical theory. Utilizing its rotation invariant property, the 3D ear recognition method could be strongly robust in pose variation...
In this paper, we introduce an improved version of DAISY descriptor algorithm, which is used for high-quality image keypoint matching. Since DAISY descriptor algorithm has many prominent advantages but lacks the ability of handling large in-plane rotation, we thus construct our Rotation-Invariant DAISY descriptor to effectively settle this shortcoming. The matching results of our scheme can be also...
This paper proposes a novel method based on Haar wavelet transform and uniform local binary patterns (ULBPs) to recognize ear images. Firstly, ear images are decomposed by Haar wavelet transform. Then ULBPs are combined simultaneously with block-based and multi-resolution methods to describe together the texture features of ear sub-images transformed by Haar wavelet. Finally, the texture features...
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