Multi-view Reconstruction of 3D Human Pose with Procrustes Analysis


Temiz H., GÖKBERK B., AKARUN ERSOY L.

9th International Conference on Image Processing Theory, Tools and Applications, IPTA 2019, İstanbul, Türkiye, 6 - 09 Kasım 2019, (Tam Metin Bildiri)

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Doi Numarası: 10.1109/ipta.2019.8936071
  • Basıldığı Şehir: İstanbul
  • Basıldığı Ülke: Türkiye
  • Anahtar Kelimeler: 3D human pose estimation, Multi-view camera reconstruction, Procrustes Analysis
  • Boğaziçi Üniversitesi Adresli: Evet

Özet

Recovery of 3D human pose from cameras has been the subject of intensive research in the last decade. Algorithms that can estimate the 3D pose from a single image have been developed. At the same time, many camera environments have an array of cameras. In this paper, after aligning the poses obtained from single images using Procrustes Analysis, median filtering is utilized to eliminate outliers to find final reconstructed 3D body joint coordinates. Experiments performed on the CMU Panoptic, and Human3.6M databases demonstrate that the proposed system achieves accurate 3D body joint reconstructions. Additionally, we observe that camera selection is useful to decrease the system complexity while attaining the same level of reconstruction performance.