Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  propose a new method to compress the geometry component of 3D animation sequence. It is based on the linear discriminant analysis (LDA) of the animation geometry data. The redundancy across the animation frames has been exploited by using the LDA in the temporal direction. Owing to the redundancy beten the frames of a class, the covariance matrix of that class for the LDA computation may become singular. To overcome this drawback,  first transform the data into a new basis using the principal component analysis (PCA) and then apply the LDA on a few principal components. The reconstruction is simple and involves two stages: firstly for the LDA and then for the PCA. The experimental results show that the proposed method has the advantage of better reconstruction error at high compression ratios.
['A. Vamsidhar', 'P. K. Bora', 'Sanjib Das']
I am writing a research paper on a idea Animation Geometry Compression Using the Linear Discriminant Analysis
[{"from": "human", "value": "I am writing a research paper on a idea Animation Geometry Compression Using the Linear Discriminant Analysis"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  propose a new method to compress the geometry component of 3D animation sequence. It is based on the linear discriminant analysis (LDA) of the animation geometry data. The redundancy across the animation frames has been exploited by using the LDA in the temporal direction. Owing to the redundancy beten the frames of a class, the covariance matrix of that class for the LDA computation may become singular. To overcome this drawback,  first transform the data into a new basis using the principal component analysis (PCA) and then apply the LDA on a few principal components. The reconstruction is simple and involves two stages: firstly for the LDA and then for the PCA. The experimental results show that the proposed method has the advantage of better reconstruction error at high compression ratios."}]