Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  present a novel framework for motion segmentation that combines the concepts of layer-based methods and featurebased motion estimation.  estimate the initial correspondences by comparing vectors of filter outputs at interest points, from which  compute candidate scene relations via random sampling of minimal subsets of correspondences.  achieve a dense, piecewise smooth assignment of pixels to motion layers using a fast approximate graphcut algorithm based on a Markov random field formulation.  demonstrate our approach on image pairs containing large inter-frame motion and partial occlusion. The approach is efficient and it successfully segments scenes with inter-frame disparities previously beyond the scope of layerbased motion segmentation methods.
['Josh Wills', 'Sameer Agarwal', 'Serge J. Belongie']
I am writing a research paper on a idea What went where
[{"from": "human", "value": "I am writing a research paper on a idea What went where"}, {"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 novel framework for motion segmentation that combines the concepts of layer-based methods and featurebased motion estimation.  estimate the initial correspondences by comparing vectors of filter outputs at interest points, from which  compute candidate scene relations via random sampling of minimal subsets of correspondences.  achieve a dense, piecewise smooth assignment of pixels to motion layers using a fast approximate graphcut algorithm based on a Markov random field formulation.  demonstrate our approach on image pairs containing large inter-frame motion and partial occlusion. The approach is efficient and it successfully segments scenes with inter-frame disparities previously beyond the scope of layerbased motion segmentation methods."}]