Learning classical image registration features using a deep learning architecture

Theus H. Aspiras; Ruixu Liu; Jonathan Schierl; Vijayan K. Asari

doi:10.1117/12.2622314

13 June 2022 Learning classical image registration features using a deep learning architecture

Theus H. Aspiras, Ruixu Liu, Jonathan Schierl, Vijayan K. Asari

Proceedings Volume PC12101, Pattern Recognition and Tracking XXXIII; PC121010B (2022) https://doi.org/10.1117/12.2622314
Event: SPIE Defense + Commercial Sensing, 2022, Orlando, Florida, United States

Abstract

This Conference Presentation, “Learning classical image registration features using a deep learning architecture,” was recorded at SPIE Photonics West held in San Francisco, California, United States

Conference Presentation

Citation Download Citation

Theus H. Aspiras, Ruixu Liu, Jonathan Schierl, and Vijayan K. Asari "Learning classical image registration features using a deep learning architecture", Proc. SPIE PC12101, Pattern Recognition and Tracking XXXIII, PC121010B (13 June 2022); https://doi.org/10.1117/12.2622314

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