Detection of Mirror-Symmetric Image Patches

被引：39
|
作者：
Patraucean, Viorica [1 ]
von Gioi, Rafael Grompone [2 ]
Ovsjanikov, Maks [1 ]
机构：
[1] Ecole Polytech Palaiseau, Palaiseau, France
[2] ENS, Cachan, France
来源：
2013 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS (CVPRW) | 2013年
关键词：
D O I：
10.1109/CVPRW.2013.38
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
We propose a novel approach for detecting partial reflectional symmetry in images. Our method consists of two principal stages: candidate selection and validation. In the first step, candidates for mirror-symmetric patches are identified using an existing heuristic procedure based on Hough voting. The candidates are then validated using a principled statistical procedure inspired from the a contrario theory, which minimizes the number of false positives. Our algorithm uses integral image properties to enhance the execution time.
引用
收藏
页码：211 / 216
页数：6
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