Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: No feature-based vision system can work unless good features can be identified and tracked from frame to frame. Although tracking itself is by and large a solved problem, selecting features that can be tracked ll and correspond to physical points in the world is still hard.  propose a feature selection criterion that is optimal by construction because it is based on how the tracker works, and a feature monitoring method that can detect occlusions, disocclusions, and features that do not correspond to points in the world. These methods are based on a new tracking algorithm that extends previous Newton-Raphson style search methods to work under affine image transformations.  test performance with several simulations and experiments. >
['Jianbo Shi', 'Tomasi']
I am writing a research paper on a idea Good features to track
[{"from": "human", "value": "I am writing a research paper on a idea Good features to track"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: No feature-based vision system can work unless good features can be identified and tracked from frame to frame. Although tracking itself is by and large a solved problem, selecting features that can be tracked ll and correspond to physical points in the world is still hard.  propose a feature selection criterion that is optimal by construction because it is based on how the tracker works, and a feature monitoring method that can detect occlusions, disocclusions, and features that do not correspond to points in the world. These methods are based on a new tracking algorithm that extends previous Newton-Raphson style search methods to work under affine image transformations.  test performance with several simulations and experiments. >"}]