Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Recognition of 3D objects from different viewpoints is a difficult problem. ,  propose a new method to recognize 3D range images by matching local surface descriptors. The input 3D surfaces are first converted into a set of local shape descriptors computed on surface patches defined by detected salient features.  compute the similarities beten input 3D images by matching their descriptors with a pyramid kernel function. The similarity matrix of the images is used to train for classification using SVM, and new images can be recognized by comparing with the training set. The approach is evaluated on both synthetic and real 3D data with complex shapes.
['Xinju Li', 'Igor Guskov']
I am writing a research paper on a idea 3D object recognition from range images using pyramid matching
[{"from": "human", "value": "I am writing a research paper on a idea 3D object recognition from range images using pyramid matching"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Recognition of 3D objects from different viewpoints is a difficult problem. ,  propose a new method to recognize 3D range images by matching local surface descriptors. The input 3D surfaces are first converted into a set of local shape descriptors computed on surface patches defined by detected salient features.  compute the similarities beten input 3D images by matching their descriptors with a pyramid kernel function. The similarity matrix of the images is used to train for classification using SVM, and new images can be recognized by comparing with the training set. The approach is evaluated on both synthetic and real 3D data with complex shapes."}]