3D Reconstruction of Human Body from Single-View Videos, Ph.D. Dissertation Sharif University of Technology ; Kasaei, Shohreh (Supervisor)
Abstract
This thesis presented a state-of-the-art algorithm for perspective projection reconstruction of non-rigid surfaces from single-view and realistic videos. Which overcomes the limitations arising from the usage of orthographic camera model and the complexity and non-linearity issues of perspective projection equation. Unlike traditional non-rigid structure-from-motion (NRSfM) methods, which have been studied only on synthetic datasets and controlled lab environments that require some prior constraints (such as manually segmented objects, limited rotations and occlusions, and full-length trajectories); the proposed method can be used in realistic video sequences. In addition, contrary to...
Cataloging brief3D Reconstruction of Human Body from Single-View Videos, Ph.D. Dissertation Sharif University of Technology ; Kasaei, Shohreh (Supervisor)
Abstract
This thesis presented a state-of-the-art algorithm for perspective projection reconstruction of non-rigid surfaces from single-view and realistic videos. Which overcomes the limitations arising from the usage of orthographic camera model and the complexity and non-linearity issues of perspective projection equation. Unlike traditional non-rigid structure-from-motion (NRSfM) methods, which have been studied only on synthetic datasets and controlled lab environments that require some prior constraints (such as manually segmented objects, limited rotations and occlusions, and full-length trajectories); the proposed method can be used in realistic video sequences. In addition, contrary to...
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