Results 21 to 30 of about 55,702 (256)

River Surface Velocimetry Based on Virtual River Dataset and Modulated-RAFT

open access: yesIEEE Access, 2023
In recent years, there has been a surge of interest in image-based velocimetry methods for river surface velocity (RSV) estimation due to their efficiency and accuracy, including large-scale particle image velocimetry (LSPIV), space-time image ...
Yixin Wu   +5 more
doaj   +1 more source

3D Wavelet-Based Optical Flow Estimation [PDF]

open access: yesEngineering and Technology Journal, 2007
In this paper, a new algorithm for accurate optical flow estimation using discretewavelet approximation is proposed. The image sequences are always assumed tobe noiseless in the computation of optical flow, since there is always a method thatcan perform ...
Mutaz. AbdulWahab
doaj   +1 more source

Ghost-removal image warping for optical flow estimation [PDF]

open access: yesMATEC Web of Conferences, 2019
Traditional image warping methods used in optical flow estimation usually adopt simple interpolation strategies to obtain the warped images. But without considering the characteristic of occluded regions, the traditional methods may result in undesirable
Wang Song, Wang Zengfu
doaj   +1 more source

Stereo vision-based variational optical flow estimation [PDF]

open access: yesE3S Web of Conferences, 2020
Optical flow computation is one of the most important tasks in computer vision. The article deals with a modification of the variational method of the optical flow computation, according to its application in stereo vision.
Belyakov P. V.   +3 more
doaj   +1 more source

A New Fast Method for Optical Flow Estimation Using Discrete Wavelet Transform [PDF]

open access: yesEngineering and Technology Journal, 2005
In this paper, a new algorithm for accurate optical flow estimation using discrete wavelet approximation is proposed. The image sequences are always assumed to be noiseless in the computation of optical flow, since there is always a method that can ...
M. . AbdulWahab, W . Mahmoud, H. AL-Taai
doaj   +1 more source

Large Displacement Optical Flow Estimation Based on Robust Interpolation of Sparse Correspondences

open access: yesIEEE Access, 2020
Recently, the interpolation of correspondences method has been widely used in optical flow estimation, because it produces an accurate flow field and costs little runtimes.
Shidong Shi   +5 more
doaj   +1 more source

Motion Vector Field Estimation Using Brightness Constancy Assumption and Epipolar Geometry Constraint [PDF]

open access: yesISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2014
In most Photogrammetry and computer vision tasks, finding the corresponding points among images is required. Among many, the Lucas-Kanade optical flow estimation has been employed for tracking interest points as well as motion vector field estimation ...
S. Hosseinyalamdary, A. Yilmaz
doaj   +1 more source

UAV attitude estimation based on MARG and optical flow sensors using gated recurrent unit

open access: yesInternational Journal of Distributed Sensor Networks, 2021
Three-dimensional attitude estimation for unmanned aerial vehicles is usually based on the combination of magnetometer, accelerometer, and gyroscope (MARG).
Xiaoqin Liu   +4 more
doaj   +1 more source

Guiding Optical Flow Estimation [PDF]

open access: yesProcedings of the British Machine Vision Conference 2003, 2003
We show how optical flow estimates can be combined with boundary estimation to improve estimates of motion. The improvement is associated with blending of estimates from complementary bases of operation. The paper combines a phase-based method for optical flow with a time extended version of the phase congruency operator. By evaluation on synthetic and
openaire   +1 more source

Segmentation and estimation of the optical flow [PDF]

open access: yes, 1995
We propose an algorithm for simultaneous estimation and segmentation of the optical flow. The moving scene is decomposed in different regions with respect to their motion, by means of a pattern recognition scheme. The feature vectors are drawn from the image sequence and they are used to train a Radial Basis Functions (RBF) neural network. The learning
Adrian G. Bors, Ioannis Pitas
openaire   +1 more source

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