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Local Moebius transformations applied to omnidirectional images

本地 Moebius 转变适用于全向的图象

作     者:Ferreira, Leonardo Souto Sacht, Leonardo Velho, Luiz 

作者机构:Univ Fed Santa Catarina Dept Matemat Campus Trindade BR-88040900 Florianopolis SC Brazil IMPA Estr Dona Castorina 110 BR-22460320 Rio De Janeiro Brazil 

出 版 物:《COMPUTERS & GRAPHICS-UK》 (计算机与图形学)

年 卷 期:2017年第68卷第Nov.期

页      面:77-83页

核心收录:

学科分类:08[工学] 0835[工学-软件工程] 0812[工学-计算机科学与技术(可授工学、理学学位)] 

基  金:PICME-CNPq Scholarship CNPq CNE from FAPERJ 

主  题:Moebius transformations Omnidirectional images Panoramas Distortions 

摘      要:This work presents a new method to transform omnidirectional images based on a combination of Moebius transformations in the complex plane and weighting functions that restrict the action of these mappings to regions of interest. The transformations are calculated based. on the specification of the image of three points and the weighting functions are designed to achieve specific goals such as local zoom or straight line rectification. Since no optimization or numerical methods are involved, our implementation of the proposed method can be upgraded to reach real-time performance. We provide a user interface and present many results that illustrate the potential of the proposed technique. (C) 2017 Elsevier Ltd. All rights reserved.

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