Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: While the geometric aspects of structure and motion estimation from uncalibrated images are ll understood, and it has great promise in applications, it has not seen widespread use.   combine SSD tracking with incremental structure computation into a system computing both motion and structure on-line from video.  show how in combination the structure estimation and tracking benefit each other, resulting in both better structure and more robust tracking. Particularly, through the 3D structure, our method can manage visibility constraints, add new image patches to track as they come into view and remove ones that are occluded or fail. This allows tracking over larger pose variations than possible with conventional SSD tracking (e.g. going around an object or scene where new parts come into view.) Experiments demonstrate tracking and capture of a scene from a camera trajectory covering different sides without mutual visibility.
['Adam Rachmielowski', 'Dana Cobza', 'Martin Jagersand']
I am writing a research paper on a idea Robust SSD tracking with incremental 3D structure estimation
[{"from": "human", "value": "I am writing a research paper on a idea Robust SSD tracking with incremental 3D structure estimation"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: While the geometric aspects of structure and motion estimation from uncalibrated images are ll understood, and it has great promise in applications, it has not seen widespread use.   combine SSD tracking with incremental structure computation into a system computing both motion and structure on-line from video.  show how in combination the structure estimation and tracking benefit each other, resulting in both better structure and more robust tracking. Particularly, through the 3D structure, our method can manage visibility constraints, add new image patches to track as they come into view and remove ones that are occluded or fail. This allows tracking over larger pose variations than possible with conventional SSD tracking (e.g. going around an object or scene where new parts come into view.) Experiments demonstrate tracking and capture of a scene from a camera trajectory covering different sides without mutual visibility."}]