Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: With digital still cameras, users can easily collect thousands of photos.  have created a photo management application with the goal of making photo organization and browsing simple and quick, even for very large collections. A particular concern is the manage-ment of photos depicting people.  present a semi-automatic approach designed to facilitate the task of labeling photos with people that opportunistically takes advantage of the strengths of current state-of-the-art technology in face detection and recognition. In particular, an accurate face detector is used to automatically extract faces from photos while the less accurate face recog-nizer is used not to classify the detected faces, but to sort faces by their similarity to a chosen model. The sorted faces are presented as candidates within a user interface designed for quick and easy face labeling.  present results of a simulation of the usage model that demonstrate the improved ease that is achieved by our method
['Andreas Girgensohn', 'John Adcock', 'Lynn Wilcox']
I am writing a research paper on a idea Leveraging face recognition technology to find and organize photos
[{"from": "human", "value": "I am writing a research paper on a idea Leveraging face recognition technology to find and organize photos"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: With digital still cameras, users can easily collect thousands of photos.  have created a photo management application with the goal of making photo organization and browsing simple and quick, even for very large collections. A particular concern is the manage-ment of photos depicting people.  present a semi-automatic approach designed to facilitate the task of labeling photos with people that opportunistically takes advantage of the strengths of current state-of-the-art technology in face detection and recognition. In particular, an accurate face detector is used to automatically extract faces from photos while the less accurate face recog-nizer is used not to classify the detected faces, but to sort faces by their similarity to a chosen model. The sorted faces are presented as candidates within a user interface designed for quick and easy face labeling.  present results of a simulation of the usage model that demonstrate the improved ease that is achieved by our method"}]