Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  presents a physics based approach to fitting object models to images. The process is modelled as a movement of a rigid body in a viscous environment on a flat surface. The driving forces and moments are obtained by analyzing a single image. Gradients and their distances to projected model features support the development of acceleration and velocity of the model until fitting the image. Accurate pose estimates are achieved in real-time, since the computational cost is lor than in GaussNewton based approaches. Moreover, the algorithm is less sensitive to illumination changes and shadows. Parameters of the dynamical system can be interpreted in physical terms.
['Martin Berger', 'V. Kravtchenko-Berejnoi', 'Stefan Scherer']
I am writing a research paper on a idea Fitting 3D Models To 2D Imagery: A Physics Based Approach.
[{"from": "human", "value": "I am writing a research paper on a idea Fitting 3D Models To 2D Imagery: A Physics Based Approach."}, {"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 physics based approach to fitting object models to images. The process is modelled as a movement of a rigid body in a viscous environment on a flat surface. The driving forces and moments are obtained by analyzing a single image. Gradients and their distances to projected model features support the development of acceleration and velocity of the model until fitting the image. Accurate pose estimates are achieved in real-time, since the computational cost is lor than in GaussNewton based approaches. Moreover, the algorithm is less sensitive to illumination changes and shadows. Parameters of the dynamical system can be interpreted in physical terms."}]