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Alternative TitleResearch on indoor environment images mosaic quickly based on improved SURF algorithm
符秀辉; 周文俊; 赵茂鑫
Source Publication计算机技术与发展
Volume25Issue:8Pages:39-42, 47
Contribution Rank1
Funding Organization国家自然科学基金资助项目(51375477)
Keyword室内环境 图像拼接 加速鲁棒特征 随机采样一致性 最近邻分类
Other AbstractIn order to solve the problem of poor effect on indoor environment image mosaic cased by Speed-Up Robust Features (SURF) algorithm and meet the demands of the fast indoor environment images matching, in this paper, the improved algorithm of SURF is proposed. The first, the feature points are detected by Speed-Up Robust Features (SURF) algorithm; secondly using bidirectional k-nearest neighbor algorithm to filtrate the feature points; then the error feature points are eliminated by Random Sample Consensus (RANSAC) algorithm; finally, the weighted average method to the mosaic images. Through the above steps, the final images have been obtained and the efficiency of the images matching has been improved. The experiment results show that the algorithm proposed in this paper can reduce the matching error, increase the images mosaic efficiency and acquire the good stitching effect.
Document Type期刊论文
Recommended Citation
GB/T 7714
符秀辉,周文俊,赵茂鑫. 基于改进SURF算法的室内环境图像快速拼接[J]. 计算机技术与发展,2015,25(8):39-42, 47.
APA 符秀辉,周文俊,&赵茂鑫.(2015).基于改进SURF算法的室内环境图像快速拼接.计算机技术与发展,25(8),39-42, 47.
MLA 符秀辉,et al."基于改进SURF算法的室内环境图像快速拼接".计算机技术与发展 25.8(2015):39-42, 47.
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