摘要
为了解决传统三维重建研究中光滑物体表面特征提取较难,重建效果不理想等问题,提出了一种对角点、边缘点同时进行特征提取的Harris改进算法,该算法通过一阶微分来实现图像二维信息的多基元检测,从而增强之后的三维重建效果。最后通过仿真实验证明文中提出的Harris的改进算法能够有效的进行多基元提取并最终得到理想的重建结果。
To solve the problem that the reconstruction results of traditional three view 3 D reconstruction is less effective, and the feature extraction is difficult to achieve effectively on the smooth surface, this article proposes an improved Harris algorithm, which can detect comer points and edge points at the same time. This algorithm achieves multi-primitive detection of two-dimensional image information by first-order differential to enhance the reconstruction results. Finally, the experimental results show that this improved Harris algorithm can effectively solve the problem of difficult multi- primitive extraction and get the ideal result of reconstruction.
出处
《信息技术》
2011年第12期82-84,共3页
Information Technology
关键词
三维重建
角点
边缘点
HARRIS
three-dimensional reconstruction
comer points
edge point
Harris
