Multi-view reconstruction of 3D human pose with procrustes analysis
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CitationTemiz, H., Gökberk, B. & Akarun, L., (6-9 November, 2019). Multi-view reconstruction of 3D human pose with procrustes analysis, 2019 Ninth International Conference on Image Processing Theory, Tools and Applications (IPTA 2019), pp. 1-5, DOI: https://doi.org/10.1109/IPTA.2019.8936071
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.