Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  present a method to automatically extract spatiotemporal descriptions of moving objects from synchronized and calibrated multi-view sequences. The object is modeled by a time-varying multi-resolution subdivision surface that is fitted to the image data using spatio-temporal multiview stereo information, as ll as contour constraints. The stereo data is utilized by computing the normalized correlation beten corresponding spatio-temporal image trajectories of surface patches, while the contour information is determined using incremental segmentation of the viewing volume into object and background.  globally optimize the shape of the spatio-temporal surface in a coarse-to-fine manner using the multi-resolution structure of the subdivision mesh. The method presented incorporates the available image information in a unified framework and automatically reconstructs accurate spatio-temporal representations of complex non-rigidly moving objects.
['Jan Neumann', 'Yiannis Aloimonos']
I am writing a research paper on a idea Spatio-temporal stereo using multi-resolution subdivision surfaces
[{"from": "human", "value": "I am writing a research paper on a idea Spatio-temporal stereo using multi-resolution subdivision surfaces"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  present a method to automatically extract spatiotemporal descriptions of moving objects from synchronized and calibrated multi-view sequences. The object is modeled by a time-varying multi-resolution subdivision surface that is fitted to the image data using spatio-temporal multiview stereo information, as ll as contour constraints. The stereo data is utilized by computing the normalized correlation beten corresponding spatio-temporal image trajectories of surface patches, while the contour information is determined using incremental segmentation of the viewing volume into object and background.  globally optimize the shape of the spatio-temporal surface in a coarse-to-fine manner using the multi-resolution structure of the subdivision mesh. The method presented incorporates the available image information in a unified framework and automatically reconstructs accurate spatio-temporal representations of complex non-rigidly moving objects."}]