Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The paper presents preliminary work on a novel technique for gaze estimation from a single image. The goal is to provide rough estimates of where a person is looking at a monitor. Many applications for human-computer interaction are possible for such a technique. The approach uses the morphable model framework of Jones and Poggio (1998) to model a region around the eyes of a person. After matching this model to an input image of a person's eye region, the resulting model parameters are sent to a neural network which approximates the screen coordinates being vied. The system is user independent and can handle changes in both head orientation and iris location. Currently the system is not real-time. Future work will focus on improving the speed of the system.
['Thomas D. Rikert', 'Michael J. Jones']
I am writing a research paper on a idea Gaze estimation using morphable models
[{"from": "human", "value": "I am writing a research paper on a idea Gaze estimation using morphable models"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The paper presents preliminary work on a novel technique for gaze estimation from a single image. The goal is to provide rough estimates of where a person is looking at a monitor. Many applications for human-computer interaction are possible for such a technique. The approach uses the morphable model framework of Jones and Poggio (1998) to model a region around the eyes of a person. After matching this model to an input image of a person's eye region, the resulting model parameters are sent to a neural network which approximates the screen coordinates being vied. The system is user independent and can handle changes in both head orientation and iris location. Currently the system is not real-time. Future work will focus on improving the speed of the system."}]