Towards 3D Visualization of Video from Frames
This work addresses 3D visualization from video, which could benefit fields like computer vision and multimedia, but it appears incremental as it builds on existing feature extraction and matching techniques.
The paper tackled the problem of reconstructing 3D scenes from video frames to enable 3D visualization, demonstrating the feasibility of their method through initial experiments with results made publicly available.
We explain theoretically how to reconstruct the 3D scene from successive frames in order to see the video in 3D. To do this, features, associated to moving rigid objects in 3D, are extracted in frames and matched. The vanishing point computed in frame corresponding to the direction of moving object is used for 3D positioning of the 3D structure of the moving object. First experiments are conducted and the obtained results are shown and publicly available. They demonstrate the feasibility of our method. We conclude this paper by future works in order to improve this method tacking into account non-rigid objects and the case of moving camera.