Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Integration is a crucial step in the reconstruction of complete 3D surface model from multiple scans. Ever-present registration errors and scanning noise make integration a nontrivial problem. ,  propose a novel method for multi-view scan integration where  solve it as a labeling problem. Unlike previous methods, which have been based on various merging schemes, our labeling-based method is essentially a selection strategy. The overall surface model is composed of surface patches from selected input scans.  formulate the labeling via a higher-order Markov Random Field (MRF) which assigns a label representing an index of some input scan to every point in a base surface. Using a higher-order MRF allows us to more effectively capture spatial relations beten 3D points.  employ belief propagation to infer this labeling and experimentally demonstrate that this integration approach provides significantly improved integration via both qualitative and quantitative comparisons.
['Ran Song', 'Yonghuai Liu', 'Ralph Robert Martin', 'Paul L. Rosin']
I am writing a research paper on a idea Scan integration as a labelling problem
[{"from": "human", "value": "I am writing a research paper on a idea Scan integration as a labelling problem"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Integration is a crucial step in the reconstruction of complete 3D surface model from multiple scans. Ever-present registration errors and scanning noise make integration a nontrivial problem. ,  propose a novel method for multi-view scan integration where  solve it as a labeling problem. Unlike previous methods, which have been based on various merging schemes, our labeling-based method is essentially a selection strategy. The overall surface model is composed of surface patches from selected input scans.  formulate the labeling via a higher-order Markov Random Field (MRF) which assigns a label representing an index of some input scan to every point in a base surface. Using a higher-order MRF allows us to more effectively capture spatial relations beten 3D points.  employ belief propagation to infer this labeling and experimentally demonstrate that this integration approach provides significantly improved integration via both qualitative and quantitative comparisons."}]