Expansion-based depth map estimation for multi-view stereo | |
Peng Song; Xiaojun Wu; Michael Yu Wang; Jianhuang Wu | |
2010 | |
会议名称 | 23rd IEEE/RSJ 2010 International Conference on Intelligent Robots and Systems, IROS 2010 |
会议地点 | Taipei, Taiwan |
英文摘要 | This paper presents an algorithm for acquiring high-quality models from multiple calibrated photographs by computing and merging depth maps. The algorithm first computes depth maps from multi-view stereo using a proposed expansion-based approach that returns a 3D point cloud with noisy and redundant information. Then the estimated depth maps are merged into an accurate surface model by a cleaning, downsampling, surface normal estimation and Poisson surface reconstruction process. The proposed approach has been implemented and the experimental results with several real datasets demonstrate that the approach can produce accurate surface models efficiently |
收录类别 | EI |
语种 | 英语 |
内容类型 | 会议论文 |
源URL | [http://ir.siat.ac.cn:8080/handle/172644/2825] |
专题 | 深圳先进技术研究院_集成所 |
作者单位 | 2010 |
推荐引用方式 GB/T 7714 | Peng Song,Xiaojun Wu,Michael Yu Wang,et al. Expansion-based depth map estimation for multi-view stereo[C]. 见:23rd IEEE/RSJ 2010 International Conference on Intelligent Robots and Systems, IROS 2010. Taipei, Taiwan. |
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