Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Parametric models of objects are becoming increasingly more impor- tant in computer vision. In the past few years, a number of researchers have investigated the recovery of a class of parametric models by the minimization of an "error of fit" measure. The measures used have typ- ically been chosen in an ad hoc fashion.  looks at how these measures affect the performance of a recovery system. This research can be divided into two parts. The first studies the biases of the po- tential error-of-fit measures with respect to the parameters recovered and examines the cross-sectional shape of their respective "error of fit" surfaces. This study is done in simulation by holding all but one pa- rameter constant. The second part of the research compares two of the better "error of fit" measures by using them in a recovery system. Both the number of iterations and the quality of the reconstruction are considered.
['Ari D. Gross', 'Terrance E. Boult']
I am writing a research paper on a idea Error Of Fit Measures For Recovering Parametric Solids
[{"from": "human", "value": "I am writing a research paper on a idea Error Of Fit Measures For Recovering Parametric Solids"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Parametric models of objects are becoming increasingly more impor- tant in computer vision. In the past few years, a number of researchers have investigated the recovery of a class of parametric models by the minimization of an \"error of fit\" measure. The measures used have typ- ically been chosen in an ad hoc fashion.  looks at how these measures affect the performance of a recovery system. This research can be divided into two parts. The first studies the biases of the po- tential error-of-fit measures with respect to the parameters recovered and examines the cross-sectional shape of their respective \"error of fit\" surfaces. This study is done in simulation by holding all but one pa- rameter constant. The second part of the research compares two of the better \"error of fit\" measures by using them in a recovery system. Both the number of iterations and the quality of the reconstruction are considered."}]