Minimal Conditions on Intrinsic Parameters for Euclidean Reconstruction

Abstract In this paper will be investigated what constraints on the intrinsic parameters that are needed in order to reconstruct an unknown scene from a number of its projective images. Two such minimal cases are studied in detail. Firstly, it is shown that it is sufficient to know the skew parameter, even if all other parameters are unknown and varying, to obtain a Euclidean reconstruction. Secondly, the same thing can be done for known aspect ratio, again when all other intrinsic parameters are unknown and varying. In fact, we show that it is sufficient to know any of the

• Type: Conference
• Year: 1998
• Where: ACCV
• Authors: Anders Heyden, Kalle Åström
• Keywords: ACCV 1998, Aspect Ratio, Computer Vision, Euclidean Reconstruction, Intrinsic Parameters