Camera Pose Estimation in Complex Environments

Book (2019)


Although there has been remarkable progress in the pose estimation literature, there are still a number of limitations when existing algorithms must be applied in everyday applications, especially in uncontrolled environments. This thesis has addressed some of these limitations, computing the pose for uncalibrated cameras, computing the pose without knowing the correspondence between 20 and 30 points, computing the pose when the points of interest are unreliable and computing the pose using only depth data. The problems addressed, and consequently their contributions, have been analyzed in order of increasing complexity.


computer vision.

Scientific reference

A. Penate-Sanchez. Camera Pose Estimation in Complex Environments. LAP Lambert, 2019.