Self-calibration of an affine camera from multiple views
作者:Long Quan
摘要
A key limitation of all existing algorithms for shape and motion from image sequences under orthographic, weak perspective and para-perspective projection is that they require the calibration parameters of the camera. We present in this paper a new approach that allows the shape and motion to be computed from image sequences without having to know the calibration parameters. This approach is derived with the affine camera model, introduced by Mundy and Zisserman (1992), which is a more general class of projections including orthographic, weak perspective and para-perspective projection models. The concept of self-calibration, introduced by Maybank and Faugeras (1992) for the perspective camera and by Hartley (1994) for the rotating camera, is then applied for the affine camera.
论文关键词:Image Processing, Computer Vision, Computer Image, General Class, Image Sequence
论文评审过程:
论文官网地址:https://doi.org/10.1007/BF00131149