Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  presents a method for recognizing scene categories based on approximate global geometric correspondence. This technique works by partitioning the image into increasingly fine sub-regions and computing histograms of local features found inside each sub-region. The resulting "spatial pyramid" is a simple and computationally efficient extension of an orderless bag-of-features image representation, and it shows significantly improved performance on challenging scene categorization tasks. Specifically, our proposed method exceeds the state of the art on the Caltech-101 database and achieves high accuracy on a large database of fifteen natural scene categories. The spatial pyramid framework also offers insights into the success of several recently proposed image descriptions, including Torralbas "gist" and Los SIFT descriptors.
['Svetlana Lazebnik', 'Cordelia Schmid', 'Jean Ponce']
I am writing a research paper on a idea Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories
[{"from": "human", "value": "I am writing a research paper on a idea Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  presents a method for recognizing scene categories based on approximate global geometric correspondence. This technique works by partitioning the image into increasingly fine sub-regions and computing histograms of local features found inside each sub-region. The resulting \"spatial pyramid\" is a simple and computationally efficient extension of an orderless bag-of-features image representation, and it shows significantly improved performance on challenging scene categorization tasks. Specifically, our proposed method exceeds the state of the art on the Caltech-101 database and achieves high accuracy on a large database of fifteen natural scene categories. The spatial pyramid framework also offers insights into the success of several recently proposed image descriptions, including Torralba\u0092s \"gist\" and Lo\u0092s SIFT descriptors."}]