Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  consider the self-calibration problem for perspective cameras, and especially the best known practical method, the so-called Kruppa equation approach. It is known that for several common types of camera motion, self-calibration is degenerate, which manifests itself through the existence of ambiguous solutions. In a previous paper,  have studied these critical motion sequences in detail and have revealed their importance for practical applications. ,  reveal a type of camera motion that is not critical for the generic self-calibration problem, but for which the Kruppa equation approach fails. This is the case if all optical centers lie on a sphere and if the optical axes pass through the sphere's center. This situation is very natural for 3D object modeling from photographs or image sequences. Our result is thus a contribution to the understanding of how to successfully apply self-calibration in practice.
['Peter F. Sturm']
I am writing a research paper on a idea Camera self-calibration: a case against Kruppa's equations
[{"from": "human", "value": "I am writing a research paper on a idea Camera self-calibration: a case against Kruppa's equations"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  consider the self-calibration problem for perspective cameras, and especially the best known practical method, the so-called Kruppa equation approach. It is known that for several common types of camera motion, self-calibration is degenerate, which manifests itself through the existence of ambiguous solutions. In a previous paper,  have studied these critical motion sequences in detail and have revealed their importance for practical applications. ,  reveal a type of camera motion that is not critical for the generic self-calibration problem, but for which the Kruppa equation approach fails. This is the case if all optical centers lie on a sphere and if the optical axes pass through the sphere's center. This situation is very natural for 3D object modeling from photographs or image sequences. Our result is thus a contribution to the understanding of how to successfully apply self-calibration in practice."}]