Deep Learning-Based Stereo Camera Multi-Video Synchronization

Stereo vision is essential for many applications. Currently, the synchronization of the streams coming from two cameras is done using mostly hardware. A software-based synchronization method would reduce the cost, weight and size of the entire system and allow for more flexibility when building such systems. With this goal in mind, we present here a comparison of different deep learning-based systems and prove that some are efficient and generalizable enough for such a task. This study paves the way to a production ready software-based video synchronization system.

• Publication year

  2023

• Venue

  IEEE International Conference on Acoustics, Speech, and Signal Processing

• Publication date

  2023-03-22

• Fields of study

  Computer Science, Engineering

• Identifiers
  DOI 10.1109/ICASSP49357.2023.10097105arXiv 2303.12916
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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