Batched Incremental Structure-from-Motion
文献类型:会议论文
作者 | Cui Hainan(崔海楠)![]() ![]() ![]() |
出版日期 | 2017 |
会议日期 | 2017-10 |
会议地点 | QingDao, China |
英文摘要 |
The incremental Structure-from-Motion (SfM) technique
has advanced in both robustness and accuracy, but the effi-
ciency and scalability remain its key challenges. In this pa-
per, we propose a novel batched incremental SfM technique
to tackle these problems in a unified framework, where two
iteration loops are contained. The inner loop is a tracks tri-
angulation loop, where a novel tracks selection method is
proposed to find a compact subset of tracks for the bundle
adjustment (BA). The outer loop is a camera registration
loop, where a batch of cameras are simultaneously added
to alleviate the drifting risk and reduce the running times
of BA. By the tracks selection and batched camera registra-
tion, we find these two iteration loops converge fast. Ex-
tensive experiments demonstrate that our new SfM system
performs similarly or better than many of the state-of-the-
art SfM systems in terms of camera calibration accuracy,
while is more efficient, robust and scalable for large-scale
scene reconstruction. |
源URL | [http://ir.ia.ac.cn/handle/173211/19771] ![]() |
专题 | 自动化研究所_模式识别国家重点实验室_机器人视觉团队 |
推荐引用方式 GB/T 7714 | Cui Hainan,Shuhan Shen,Gao Xiang,et al. Batched Incremental Structure-from-Motion[C]. 见:. QingDao, China. 2017-10. |
入库方式: OAI收割
来源:自动化研究所
浏览0
下载0
收藏0
其他版本
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。