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An improved RANSAC algorithm based on structural similarity was proposed to improve the speed and accuracy of traditional RANSAC (Random Sample Consensus) algorithm and to reduce iterations and runtime. Firstly, BRISK (Binary Robust Invariant Scalable Keypoints) algorithm was used to extract and describe feature points. The initial match set is obtained by hamming distance feature matching. Then,...
Aiming at the problem of low speed of 3D reconstruction of indoor scenes with monocular vision, the color images and depth images of indoor scenes based on ASUS Xtion monocular vision sensor were used for 3D reconstruction. The image feature extraction using the ORB feature detection algorithm, and compared the efficiency of several kinds of classic feature detection algorithm in image matching, Ransac...
A kernel optimization strategy based on mean shift was proposed to improve the classification performance of samples. After doing mean shift optimization, the samples move to the center of local high density and the distances of samples in the same class are closer than the distances of the samples in different classes. We design an iterated local search strategy for automatic bandwidth selection...
Classification of halftone image is one of the important methods to resolve the optimal reconstruction problems of halftone image. Novel region covariance descriptor is presented in this paper for classification of halftone image. A set of pre-defined templates are proposed to convolute with the Fourier spectrum of halftone image to acquire covariance matrices. Bayesian classification on Riemannian...
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