摘要
文章提出由两幅部分重叠图象估计物体平移、旋转和缩放新的计算视觉方法。该方法有以下特点：利用照明方向估计算子以获得摄象机旋转的起始估计；为检测局部表面曲率间断，利用Ｇａｂｏｒ小波模型定位特征点；平移及旋转的估计可公式化为线性问题；利用由粗到细的层级匹配能获得很好的结果。
Automatic image registration is important for many multiframe based image analysis applications.In this paper,computational vision approach is presented for estimation of 2D translation,rotation,and scale from two partially overlapping images.The approach has the following features: illuminant direction estimator is used to obtain an initial estimate of camera rotation, feature points are located based on a Gabor wavelet model for detecting local curvature discontinuities, estimation of rotation and translation is formulated as a linear problem and hierarchical coarse to fine matching is ued.This results in a fast and novel algorithm that produces good results even when large rotations and scale changes have occurred between the two frames and the images are devoid of significant features.Several applications of the algorithm are presented.
出处
《合肥工业大学学报（自然科学版）》
CAS
CSCD
1999年第1期8-13,共6页
Journal of Hefei University of Technology：Natural Science
基金
国家自然科学基金高技术项目
关键词
摄象机
Gabor小波模型
图象配准
计算视觉
camera motion model,Gabor wavelet model,stereo image registration,feature point extraction
