Lee, I.B., Park, K.S.: Measurement of ocular torsion using iterative Lucas–Kanade optical flow method. In: Proceedings of the 27th Annual Conference on Engineering in Medicine and Biology, pp. 6433–6436. IEEE (2005)Lee et al. " Measurement of Ocular Torsion Using Iterative Lucas-Kanade...
Lucas, B.D., Kanade, T.: An iterative image registration technique with an application to stereo vision. In: Proc. of Imaging Understanding Workshop, ... BD Lucas,T Kanade 被引量: 0发表: 1981年 An Iterative Image Registration Technique CiteSeerX - Document Details (Isaac Councill, Lee Gi...
Tong W. Formulation of Lucas-Kanade digital image correlation algorithms for non-contact deformation measurements: A review. Strain, 2013, 49: 313–334 Article Google Scholar Tao G, Xia Z. A non-contact real-time strain measurement and control system for multiaxial cyclic/fatigue tests of polym...
Lucas and Takeo Kanade. An iterative image reg- istration technique with an application to stereo vision. In Proceedings of the 7th International Joint Conference on Ar- tificial Intelligence, volume 2, pages 674–679, 1981. 1 [35] Fabian Manhardt, W...
Lucas-kanade 20 years on: A unifying framework. International journal of computer vision, 56(3):221–255, 2004. 2 [4] Jianmin Bao, Dong Chen, Fang Wen, Houqiang Li, and Gang Hua. Cvae-gan: fine-grained image generation through asymmetric training. In Proceed...
Peleg, "Lucas-Kanade without Iterative Warping," in Image Processing, 2006 IEEE International Conference on, 2006, pp. 1097-1100.Rav-Acha, A. and Peleg, S. (2006) `Lucas-Kanade without iterative warping', in ICIP 2006: Proceedings of the International Conference on Image Processing, October,...
Lucas, B.D., Kanade, T.: An iterative image registration technique with an application to stereo vision. In: Proceedings of the International Joint Conference on Artificial Intelligence, pp. 674–679 (1981) Press, W.H., Teukolsky... I Gordon,DG Lowe - DBLP 被引量: 239发表: 2006年 加...
gradient descent methodhyperplane-intersection methodThis study presents an alternative method to estimate motion parameters to the gradient-based method, which is known as Lucas-Kanade algorithm. The proposed method is a faster version of a hyperplane-intersection method. The hyperplane-intersection ...
PointNetLK [35] combines a PointNet-based global feature descriptor [36] with the the Lucas & Kanade (LK) algorithm and estimates relative transformation. DeepVCP [37] innovatively generates corresponding points based on learned matching probabilities among a group of candidates. Deep Closest Point (...