Tracks selection for robust, efficient and scalable large-scale structure from motion

作者:

Highlights:

• Three tracks selection criteria: Compactness, Accurateness, and Connectedness, are proposed to guide the selection process.

• Formulating the tracks selection task as finding a subset of tracks to cover multiple spanning trees of epipolar geometry graph (EG).

• Extensive experiments show that by inserting our tracks selection module into a SfM system, both the SfM efficiency and scalability are greatly improved.

• Our tracks selection module has a wide applicability, and it can be inserted into any global SfM systems.

• Our tracks selection method performs better than three other state-of-the-art tracks selection methods.

摘要

•Three tracks selection criteria: Compactness, Accurateness, and Connectedness, are proposed to guide the selection process.•Formulating the tracks selection task as finding a subset of tracks to cover multiple spanning trees of epipolar geometry graph (EG).•Extensive experiments show that by inserting our tracks selection module into a SfM system, both the SfM efficiency and scalability are greatly improved.•Our tracks selection module has a wide applicability, and it can be inserted into any global SfM systems.•Our tracks selection method performs better than three other state-of-the-art tracks selection methods.

论文关键词:Tracks selection,Bundle adjustment,Structure from motion

论文评审过程:Received 21 October 2016, Revised 13 April 2017, Accepted 2 August 2017, Available online 3 August 2017, Version of Record 9 August 2017.

论文官网地址:https://doi.org/10.1016/j.patcog.2017.08.002