Horn-schunck optical flow with a multi-scale strategy
E Meinhardt-Llopis, J Sánchez - Image Processing on line, 2013 - accedacris.ulpgc.es
… a multi-scale strategy in order to deal with larger displacements. For this multi-scale
strategy, we create a pyramidal structure of downsampled images and change the optical flow …
strategy, we create a pyramidal structure of downsampled images and change the optical flow …
Generalized optical flow in the scale space
H Gong, C Pan, Q Yang, H Lu, S Ma - … Vision and Image Understanding, 2007 - Elsevier
… Scale space is a natural way to handle multi-scale problems. … -channel version of Horn–Schunck
optical flow and the color … tracking path in previous tracking strategy is not well-defined. …
optical flow and the color … tracking path in previous tracking strategy is not well-defined. …
[HTML][HTML] Real-time efficient fpga implementation of the multi-scale lucas-kanade and horn-schunck optical flow algorithms for a 4k video stream
K Blachut, T Kryjak - Sensors, 2022 - mdpi.com
… Figure 2 shows a schematic computation procedure of the optical flow using the multi-scale
method … A simplified block diagram of our implementation of the Horn–Schunck optical flow …
method … A simplified block diagram of our implementation of the Horn–Schunck optical flow …
Lucas/Kanade meets Horn/Schunck: Combining local and global optic flow methods
… assumptions on the optic flow field in the … optic flow constraint with a regularising smoothness
term. Surprisingly, the actual role and the difference between these smoothing strategies, …
term. Surprisingly, the actual role and the difference between these smoothing strategies, …
Lucas/Kanade meets Horn/Schunck: Combining local and global optic flow methods
… (iv) We propose a simple confidence measure for optic flow methods that minimise energy
functionals. It allows to sparsify a dense flow field gradually, depending on the reliability …
functionals. It allows to sparsify a dense flow field gradually, depending on the reliability …
[HTML][HTML] Horn–Schunck optical flow applied to deformation measurement of a birdlike airfoil
X Gong, S Bansmer - Chinese Journal of Aeronautics, 2015 - Elsevier
Current deformation measurement techniques suffer from limited spatial resolution. In this
work, a highly accurate and high-resolution Horn–Schunck optical flow method is developed …
work, a highly accurate and high-resolution Horn–Schunck optical flow method is developed …
[PDF][PDF] Improving Horn-Schunck
S Lobry - 2012 - lrde.epita.fr
… the benefits of a multi-layer strategy applied to Horn-Schunck. … in 4 is to have a fast
computation of the optical flow. … , and how a multi-scale version of it could improve the results. …
computation of the optical flow. … , and how a multi-scale version of it could improve the results. …
[HTML][HTML] Efficient hardware implementation of the Horn-Schunck algorithm for high-resolution real-time dense optical flow sensor
M Komorkiewicz, T Kryjak, M Gorgon - Sensors, 2014 - mdpi.com
… In two articles [29,30] of the same research group, a very efficient single and multi-scale …
of 270 frames per second and in the multi-scale version (much more accurate) about 32 frames …
of 270 frames per second and in the multi-scale version (much more accurate) about 32 frames …
High throughput architecture for multiscale variational optical flow
… Computation of high-quality Optical Flow (OF) for fast-moving … for the variational multiscale
Horn-Schunck OF algorithm. The … coarse-to-fine warping strategy to improve the convergence. …
Horn-Schunck OF algorithm. The … coarse-to-fine warping strategy to improve the convergence. …
Robotic Visual-Based Navigation Structures Using Lucas-Kanade and Horn-Schunck Algorithms of Optical Flow
A Elasri, L Cherroun, M Nadour - Iranian Journal of Science and …, 2024 - Springer
… Optical flow is a computation strategy of pixel velocity mainly used in several applications,
such as object tracking, video surveillance, robotics, motion estimation, obstacle detection, …
such as object tracking, video surveillance, robotics, motion estimation, obstacle detection, …