Robust Linear Auto-calibration of a Moving Camera from Image Sequences

A robust linear method for auto-calibration of a moving camera from image sequences is presented. Known techniques for auto-calibration have problems with critical motion sequences or biased estimates. The proposed approach uses known linear equations that are weighted by variable factors. Experiments show, that this modification reduces problems with critical motion sequences and that the estimates are not biased. Therefore, the proposed approach is more robust and achieves a higher estimation accuracy.

• Type: Conference
• Year: 2006
• Where: ACCV
• Authors: Thorsten Thormählen, Hellward Broszio, Patrick Mikulastik
• Keywords: ACCV 2006, Computer Vision, Critical Motion Sequences, Image Sequences, Robust Linear Method