Robust 3D visual tracking using particle filtering on the special Euclidean group: A combined approach of keypoint and edge features

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Learning human activities and object affordances from RGB-D videos (2012, background): “Recent works in this area have addressed tasks such as estimating geometry (Henry et al., 2012), tracking objects (Choi and Christensen, 2012), recognizing objects (Collet et al., 2011), placing objects (Jiang et al., 2012b) and labeling geometric classes (Koppula et al., 2011; Anand et al., 2012).”
Pose Estimation for Augmented Reality: A Hands-On Survey (2016, methodology): “[84] and [92] proposed to perform the BA only on a sliding window (which may lead to a camera drift) while Parallel Tracking and Mapping (PTAM) [57] considers in parallel a local BA with a tracking method that involves only a localization process as in 3.1.2 with points that have been already recons”
Voting-based pose estimation for robotic assembly using a 3D sensor (2012, methodology): “In order to handle these challenges, several invariant feature descriptors [1], [2] were used to find the correspondences between an input image and a database of images, where the keypoints are matched with the 3D coordinates and stored offline [3], [4].”