Peer reviewed conference papers

  • Mehltretter, M.; Heipke C. (2019): CNN-based Cost Volume Analysis as Confidence Measure for Dense Matching, ICCV, 2nd Workshop on 3D Reconstruction in the Wild (3DRW2019), Proceedings. | File |
  • Behmann, N.; Mehltretter, M.; Kleinschmidt, S. P.; Wagner, B.; Heipke, C.; Blume, H. (2018): GPU-enhanced Multimodal Dense Matching. 2018 IEEE Nordic Circuits and Systems Conference (NORCAS): NORCHIP and International Symposium of System-on-Chip (SoC). | File | More Info
    DOI: 10.1109/NORCHIP.2018.8573526
  • Mehltretter, M.; Kleinschmidt, S.P.; Wagner, B.; Heipke, C. (2018): Multimodal dense stereo matching. In: Bronx T., Bruhn A. (Eds.): Pattern recognition – 40th German Conference GCPR Stuttgart, LNCS 11269, Springer, 407-421. | File |

Non-reviewed conference papers

  • Mehltretter, M., Heipke, C. (2018): Illumination Invariant Dense Image Matching based on Sparse Features. 38. Wissenschaftlich-Technische Jahrestagung der DGPF und PFGK18 Tagung in München, Band 27, 584-596. More Info