標題: A NOVEL 3D DENSE RECONSTRUCTION WITH HIGH ACCURACY AND COMPLETENESS
作者: Chen, Zen
Chen, Wen-Chao
Sung, Ping-Yi
資訊工程學系
Department of Computer Science
關鍵字: Point Cloud;Adaptive weighting Matching Measure;GLN-PSO;Patch Priority Queue;Patch Expansion and Filtering
公開日期: 2013
摘要: This paper presents a planar patch based method for 3D dense reconstruction. The object surface is represented as a point cloud. For high reconstruction accuracy and completeness, our strategy is to fit the object surface by planar patches at different scales. Furthermore, we apply adaptive weights to defme the photo-consistency measures for view matching. To optimize the view matching, we adopt a derivative-free GLN-PSO stochastic optimization method. Finally, to improve the reconstruction quality we design a patch priority queue for ordering the seed patches for patch expansion. The experimental results indicate the current implementation results are generally superior or comparable in comparison with the top ranked reconstruction methods reported in the Middlebury MVS website.
URI: http://hdl.handle.net/11536/24092
ISSN: 2330-7927
期刊: ELECTRONIC PROCEEDINGS OF THE 2013 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO WORKSHOPS (ICMEW)
Appears in Collections:Conferences Paper