人工智能
模式识别(心理学)
匹配(统计)
计算机科学
特征(语言学)
特征提取
计算机视觉
情态动词
邻里(数学)
图像(数学)
数学
统计
数学分析
语言学
哲学
化学
高分子化学
作者
Cristhian Aguilera,Ángel D. Sappa,Ricardo Toledo
标识
DOI:10.1109/icip.2015.7350783
摘要
This paper presents a new feature descriptor suitable to the task of matching features points between images with nonlinear intensity variations. This includes image pairs with significant illuminations changes, multi-modal image pairs and multi-spectral image pairs. The proposed method describes the neighbourhood of feature points combining frequency and spatial information using multi-scale and multi-oriented Log-Gabor filters. Experimental results show the validity of the proposed approach and also the improvements with respect to the state of the art.
科研通智能强力驱动
Strongly Powered by AbleSci AI