Results 41 to 50 of about 60,644 (302)
Research on traditional and deep learning strategies based on optical flow estimation - a review
Journal of King Saud University: Computer and Information SciencesOptical flow estimation captures the motion information of objects in a scene through analyzing the displacement of pixels in an image over time. This technology provides a powerful tool for vision systems, allowing them to understand and perceive ...
Yifan Wang +8 more
doaj +1 more source
Guided Filtering: Toward Edge-Preserving for Optical Flow
IEEE Access, 2018 Despite progress made in the accuracy and robustness of optical flow in past years, the problem of over-segmentation and the blurring of image edge and motion boundary caused by the illumination change, complex texture, large displacement, and motion ...
Congxuan Zhang +5 more
doaj +1 more source
Journal of Open Research Software, 2021 This paper describes OpenOpticalFlow_PIV, an open source Matlab program integrating the optical flow method with the cross-correlation method for extraction of high-resolution velocity fields from particle images with large displacements.
Tianshu Liu, David M. Salazar
doaj +1 more source
Improved Discrete Optical Flow Estimation With Triple Image Matching Cost
IEEE Access, 2020 Approaches that use more than two consecutive video frames in the optical flow estimation have a long research history. However, almost all such methods utilize extra information for a pre-processing flow prediction or for a post-processing flow ...
Fei Yang +3 more
doaj +1 more source
A Motion Refinement Network With Local Compensation for Video Frame Interpolation
IEEE Access, 2023 Video frame interpolation (VFI) is a challenging yet promising task that involves synthesizing intermediate frames from two given frames. State-of-the-art approaches have made significant progress by directly synthesizing images using forward optical ...
Kaiqiao Wang, Peng Liu
doaj +1 more source
A Dense Optical Flow Field Estimation with Variational Refinement
Journal of Engineering Technology and Applied Physics, 2019 Optical flow has long been a focus of research study in computer vision community. Researchers have established extensive work to solve the optical flow estimation.
Wei Yong Eng +3 more
doaj +1 more source
Pix2Pix-Based Monocular Depth Estimation for Drones with Optical Flow on AirSim
Sensors, 2022 In this work, we propose a method for estimating depth for an image of a monocular camera in order to avoid a collision for the autonomous flight of a drone.
Tomoyasu Shimada +3 more
doaj +1 more source
Joint estimation-segmentation of optic flow [PDF]
, 1998 In this paper we address the intricate issue of jointly recovering the apparent velocity field between two consecutive frames and its underlying partition. We design a global cost functional including robust estimators. These estimators enable to deal with the large deviations occurring in the different energy terms and offer the possibility to ...
Étienne Mémin, Patrick Pérez
openaire +1 more source
Structural insights into an engineered feruloyl esterase with improved MHET degrading properties
FEBS Letters, EarlyView.A feruloyl esterase was engineered to mimic key features of MHETase, enhancing the degradation of PET oligomers. Structural and computational analysis reveal how a point mutation stabilizes the active site and reshapes the binding cleft, expading substrate scope.
Panagiota Karampa +5 more
wiley +1 more source
Optical flow estimation on image sequences with differently exposed frames
, 2015 Optical flow (OF) methods are used to estimate dense motion information between consecutive frames in image sequences. In addition to the specific OF estimation method itself, the quality of the input image sequence is of crucial importance to the ...
Lindström, Konstantin, +6 more
core +1 more source