I'm reading a paper:
Choi C, Trevor A J B, Christensen H I. RGB-D edge detection and edge-based registration[C]//Intelligent Robots and Systems (IROS), 2013 IEEE/RSJ International Conference on. IEEE, 2013: 1568-1575.
Visual features such as corners, keypoints, edges, and color are widely used in computer vision and robotic perception for applications such as object recognition and pose estimation, visual odometry, and SLAM
I previously assume pose estimation to be roughly equal to visual odometry, yet the text above seems to deny.
So what's their difference? I didn't find much info from google. IMHO, it seems pose estimation is estimating the pose of moving object with the camera static, while visual odometry is estimating the pose of camera in a static(mostly) scene, is that precise enough?