Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Given multi-view correspondences, it has been shown that 3D non-rigid structure can be recovered through factorization based techniques. Hover, establishing reliable correspondences across multi-view images of non-rigid structure is not an easy task. Existing methods solve multi-view correspondences and 3D non-rigid structure in sequel, which cannot exploit the crossover constraints in each sub-problem (\ie, constraints in non-rigid structure has not been enforced in establishing multi-view correspondences and verse vise). ,  present a unified framework to simultaneously solve for multi-view correspondences and non-rigid structure.  formulate the problem by using the Partial Permutation Matrices (PPMs) and aim at establishing multi-view correspondences while simultaneously enforcing the low-rank constraint in non-rigid structure deformation. Additionally, our method can handle outliers and missing data elegantly under the same framework.  solve the simultaneous non-rigid structure and correspondences recovery problem via the Alternating Direction Method of Multipliers (ADMM). Experimental results on both synthetic and real images show that the proposed method achieves state-of-the-art performance on both sparse and dense non-rigid reconstruction problems.
['Yuchao Dai', 'Hongdong Li']
I am writing a research paper on a idea Simultaneous Correspondences Estimation and Non-Rigid Structure Reconstruction
[{"from": "human", "value": "I am writing a research paper on a idea Simultaneous Correspondences Estimation and Non-Rigid Structure Reconstruction"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Given multi-view correspondences, it has been shown that 3D non-rigid structure can be recovered through factorization based techniques. Hover, establishing reliable correspondences across multi-view images of non-rigid structure is not an easy task. Existing methods solve multi-view correspondences and 3D non-rigid structure in sequel, which cannot exploit the crossover constraints in each sub-problem (\\ie, constraints in non-rigid structure has not been enforced in establishing multi-view correspondences and verse vise). ,  present a unified framework to simultaneously solve for multi-view correspondences and non-rigid structure.  formulate the problem by using the Partial Permutation Matrices (PPMs) and aim at establishing multi-view correspondences while simultaneously enforcing the low-rank constraint in non-rigid structure deformation. Additionally, our method can handle outliers and missing data elegantly under the same framework.  solve the simultaneous non-rigid structure and correspondences recovery problem via the Alternating Direction Method of Multipliers (ADMM). Experimental results on both synthetic and real images show that the proposed method achieves state-of-the-art performance on both sparse and dense non-rigid reconstruction problems."}]