A self-calibration technique based on the geometry property of the vanish point

作者：Huo Ju^*; Yang Wei; Yang Ming

来源：Acta Optica Sinica, 2010, 30(2): 465-472.

DOI：10.3788/AOS20103002.0465

• Calibration points
• Camera self-calibration
• Center distance
• Co-ordinate system
• Extensive simulations
• Extrinsic parameter
• Geometrical property
• Geometry properties
• Initial values
• Intrinsic and extrinsic parameters
• Intrinsic parameters
• Lens distortion
• Linear approach
• Machine vision
• Nelder-mead simplex
• Non-linear optimization
• Non-linear optimization algorithms
• Optical center
• Parallel line
• Real images
• Self-calibration approach
• Self-calibration techniques
• Sensor elements
• Visual optics

Based on the geometrical property of the vanish points determined by two perpendicular groups of parallel lines, a self-calibration approach was proposed to calibrate the camera's intrinsic and extrinsic parameters. Some constraints on the intrinsic parameters were established via the perpendicular property of the vectors, which connect the optical center and the vanish points. These constraints can be solved linearly by using variable substitute. Aiming at determination of the lens distortion coefficient, a nonlinear optimization approach, based on nelder-mead simplex algorithm, was proposed when the center to center distance between adjacent sensor elements is known. The intrinsic parameters obtained by the linear approach can be used as the initial value of the nonlinear optimization algorithm. The extrinsic parameters were obtained by establishing a transitional coordinate system. The approaches proposed in this paper do not need the actual coordinate of the calibration points. Extensive simulations and experimental results with real images show that these proposed approaches are both accurate and robust.

• 出版日期2010