Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: , the 2D polar wavelet transform is proposed for content based search and retrieval of 3D objects. After the decomposition of a 3D object's volume into a set of planes, the 2D polar wavelet transform is applied to each of them, generating a set of 2D rotation invariant features. These features comprise the input to the spherical trace transform for the final descriptor extraction, which is used for the shape matching. The 2D wavelet transform demonstrated experimentally a high discriminative por, as compared to other existing methods.
['Apostolos Axenopoulos', 'Petros Daras', 'Dimitrios Zarpalas', 'Dimitrios Tzovaras', 'Michael G. Strintzis']
I am writing a research paper on a idea 3D content-based search and retrieval using the 2D polar wavelet transform
[{"from": "human", "value": "I am writing a research paper on a idea 3D content-based search and retrieval using the 2D polar wavelet transform"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: , the 2D polar wavelet transform is proposed for content based search and retrieval of 3D objects. After the decomposition of a 3D object's volume into a set of planes, the 2D polar wavelet transform is applied to each of them, generating a set of 2D rotation invariant features. These features comprise the input to the spherical trace transform for the final descriptor extraction, which is used for the shape matching. The 2D wavelet transform demonstrated experimentally a high discriminative por, as compared to other existing methods."}]