Single Axis Geometry by Fitting Conics

  title={Single Axis Geometry by Fitting Conics},
  author={Guang Jiang and Hung-Tat Tsui and Long Quan and Andrew Zisserman},
In this paper, we describe a new approach for recovering 3D geometry from an uncalibrated image sequence of a single axis (turntable) motion. Unlike previous methods, the computation of multiple views encoded by the fundamental matrix or trifocal tensor is not required. Instead, the new approach is based on fitting a conic locus to corresponding image points over multiple views. It is then shown that the geometry of single axis motion can be recovered given at least two such conics. In the case… CONTINUE READING
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