全景摄像系统电子稳像方法研究的中期报告摘要：全景摄像系统在日常生活中被广泛应用，在各个行业中发挥着重要作用。但是对于全景图像中引起晕影、抖动等问题的电子稳像方法，目前研究还比较有限。本研究旨在探索一种高效可行的全景摄像系统稳像方法，从而提高图像质量和用户体验。本研究首先分析了全景图像中常见的摄像机晕影和抖动问题，并简要介绍了目前已有的电子稳像方法。然后，本研究提出了一种基于帧间特征匹配的全景摄像系统电子稳像方法。该方法利用相邻帧之间的特征点匹配信息，对相邻帧之间的位移进行估计，从而实现图像的稳定。本研究采用SIFT特征点匹配算法和RANSAC鲁棒性估计算法来进行特征点匹配和位移估计。采用实验对比的方法来验证该方法的有效性和实用性。实验结果表明，该方法能够有效地提高全景图像的稳定性，减少摄像机抖动和晕影现象的发生。与传统的电子稳像方法相比，本方法具有更高的精度和更好的实时性。关键词：全景摄像系统、电子稳像、帧间特征匹配、SIFT、RANSACAbstract:Panoramiccamerasystemsarewidelyusedindailylifeandplayanimportantroleinvariousindustries.However,theelectronicstabilizationmethodsthatcauseproblemssuchasdizzinessandjitterinpanoramicimagesarestillrelativelylimited.Thisstudyaimstoexploreanefficientandfeasibleelectronicstabilizationmethodforpanoramiccamerasystemstoimproveimagequalityanduserexperience.First,thisstudyanalyzesthecommonproblemsofcameradizzinessandjitterinpanoramicimages,andbrieflyintroducestheexistingelectronicstabilizationmethods.Then,thisstudyproposesapanoramiccamerasystemelectronicstabilizationmethodbasedoninter-framefeaturematching.Thismethodusesfeaturepointmatchinginformationbetweenadjacentframestoestimatethedisplacementbetweenadjacentframes,therebyachievingimagestability.ThisstudyusestheSIFTfeaturepointmatchingalgorithmandtheRANSACrobustestimationalgorithmforfeaturepointmatchinganddisplacementestimation.Adoptexperimentalcomparisonmethodtoverifytheeffectivenessandpracticalityofthemethod.Theexperimentalresultsshowthatthismethodcaneffectivelyimprovethestabilityofpanoramicimagesandreducetheoccurrenceofcamerajitteranddizziness.Comparedwithtraditionalelectronicstabilizationmethods,thismethodhashigheraccuracyandbetterreal-timeperformance.Keywords:panoramiccamerasystem,electronicstabilization,inter-framefeaturematching,SIFT,RANSAC