摘要
针对计算机物体识别中不同角度下图像物体形状的不同,提出了采用多角度获取模板图像,实验图片与多角度的模板进行匹配的理论模型,对采用多角度模板匹配时出现的不同形状的轮廓进行分析,提出了用物体图像的轮廓形状的相关匹配法的解决方案,在物体识别中,多角度模板匹配与单一的模板相比,提高了识别的可靠性,避免了同一物体角度不同时,误识别为不同的物体的情况。
In view of the different shape of the object with different viewpoint, a theoretical model is proposed, the experimental images and multi-viewpoint templates are matched. The contour of different shapes when using multi-viewpoint template matching is analyzed, the solution of the correlation matching method of contour shape is proposed, in object recognition, the multi-viewpoint template matching is compared with the single template, the reliability of the identification is improved, avoiding the occurrence that an object with different viewpoint is mistakenly identified different objects.
出处
《信息技术》
2016年第6期188-190,198,共4页
Information Technology
关键词
物体识别
特征提取
特征匹配
轮廓形状
模板匹配
object recognition
feature extraction
feature matching
contour shape
template matching
