Online Mesh Optimization for Large Scale KinectFusion Meshes

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• 作者：Tristan Igelbrink^* ; ^{tigelbri@uni-osnabrueck.de" class="auth_mail" title="E-mail the corresponding author} ; Thomas Wiemann^** ; ^{twiemann@uni-osnabrueck.de" class="auth_mail" title="E-mail the corresponding author} ; Joachim Hertzberg^*** ; ^{joachim.hertzberg@uni-osnabrueck.de" class="auth_mail" title="E-mail the corresponding author}
• 关键词：Mapping ; Surface Reconstruction ; Optimization ; Camera Tracking
• 刊名：IFAC-PapersOnLine
• 出版年：2016
• 出版时间：2016
• 年：2016
• 卷：49
• 期：15
• 页码：126-131
• 全文大小：2109 K

文摘

In this paper we present an extension of Large Scale Kinect Fusion to compute optimized triangle meshes on-the-fly by removing redundant triangles on planar surfaces. The optimization is integrated into the reconstruction pipeline to compute the optimized meshes asynchronously to the reconstruction process in real time. The computed reconstructions can be extracted directly without the need of any post processing.