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This paper has proposed an architecture of optimised SIFT (scale invariant feature transform) feature detection for an FPGA implementation of an image matcher. In order for SIFT based image matcher to be implemented on an FPGA efficiently, in terms of speed and hardware resource usage, the original SIFT algorithm has been significantly optimised in the following aspects: 1) upsampling has been replaced...
This paper proposed a method of quaternion K-L transform and biomimetic pattern recognition (BPR) for color face recognition. The BPR aimed at optimal covering in the feature space Rn using some complex geometric bodies for cover samples distribution in Rn approximately in order to ??recognize??. We used quaternion K-L transform to extract the Eigen-faces of training samples and algebraic feature...
Face recognition using cubic B-spline wavelet transform is proposed in this paper. The proposed scheme is based on the analysis of face recognition using wavelet transform and the viewpoint that detail subbands after wavelet transform also have a lot of feature information. Then, the feasibility of a new application that cubic B-spline wavelet use Mallat algorithm to decompose an image under some...
This paper parallelizes and characterizes an important computer vision application -Scale Invariant Feature Transform (SIFT) both on a Symmetric Multiprocessor (SMP) platform and a large scale Chip Multiprocessor (CMP) simulator. SIFT is an approach for extracting distinctive invariant features from images and has been widely applied. In many computer vision problems, a real-time or even super-real-time...
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