Camera Pose Estimation from Sequence of Calibrated Images
This is an incremental improvement for structure from motion systems in computer vision.
The paper tackles camera pose estimation from a sequence of calibrated images, resulting in a method that reduces the number of required point correspondences compared to uncalibrated cases.
In this paper a method for camera pose estimation from a sequence of images is presented. The method assumes camera is calibrated (intrinsic parameters are known) which allows to decrease a number of required pairs of corresponding points compared to uncalibrated case. Our algorithm can be used as a first stage in a structure from motion stereo reconstruction system.