Robust optical flow estimation based on wavelet
Sign Up to like & getrecommendations! Published in 2019 at "Signal, Image and Video Processing"
DOI: 10.1007/s11760-019-01476-7
Abstract: AbstractConcentrating on the issue that the systematic error caused by variation of illumination conditions and sensor noise leads to poor robustness and low accuracy of optical flow calculation, based on the wavelet multi-resolution theory, a… read more here.
Keywords: optical flow; based wavelet; flow; flow estimation ... See more keywords
Regionalization of hydrological models for flow estimation in ungauged catchments in Ireland
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Hydrology: Regional Studies"
DOI: 10.1016/j.ejrh.2021.100859
Abstract: Abstract Study Region The study area consists of 44 catchments across Ireland. Study Focus We regionalize two hydrological models (GR4J and GR6J) to produce continuous discharge simulations and compare performance in simulating high, median and… read more here.
Keywords: flow estimation; hydrological models; model; models flow ... See more keywords
Improving stream flow estimation by incorporating time delay approach in soft computing models
Sign Up to like & getrecommendations! Published in 2019 at "ISH Journal of Hydraulic Engineering"
DOI: 10.1080/09715010.2019.1676171
Abstract: ABSTRACTIn the present study, Artificial Neural Networks (ANNs) and Genetic Programming (GP) soft-computing models were established to estimate streamflow in Tel River Basin, Odisha, India. In most... read more here.
Keywords: flow estimation; stream flow; estimation incorporating; improving stream ... See more keywords
SKFlow: Optical Flow Estimation Using Selective Kernel Networks
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2930293
Abstract: Leveraging on the recent developments in convolutional neural networks (CNNs), optical flow estimation from adjacent frames has been cast as a learning problem, with performance exceeding traditional approaches. The existing networks always use standard convolutional… read more here.
Keywords: level; optical flow; selective kernel; flow estimation ... See more keywords
Flow Fields: Dense Correspondence Fields for Highly Accurate Large Displacement Optical Flow Estimation
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Pattern Analysis and Machine Intelligence"
DOI: 10.1109/iccv.2015.457
Abstract: Modern large displacement optical flow algorithms usually use an initialization by either sparse descriptor matching techniques or dense approximate nearest neighbor fields. While the latter have the advantage of being dense, they have the major… read more here.
Keywords: large displacement; optical flow; flow estimation; correspondence ... See more keywords
Self-Supervised Scene Flow Estimation With 4-D Automotive Radar
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2022.3187248
Abstract: Scene flow allows autonomous vehicles to reason about the arbitrary motion of multiple independent objects which is the key to long-term mobile autonomy. While estimating the scene flow from LiDAR has progressed recently, it remains… read more here.
Keywords: flow estimation; scene flow; radar; scene ... See more keywords
PT-FlowNet: Scene Flow Estimation on Point Clouds With Point Transformer
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2023.3254431
Abstract: As a low-level task of 3D perception, scene flow is a fundamental representation of dynamic scenes and provides non-rigid motion descriptions for the objects in the 3D environment, which can strongly support many upper-level applications.… read more here.
Keywords: point clouds; point transformer; flow estimation; scene flow ... See more keywords
Fast Event-Based Optical Flow Estimation by Triplet Matching
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2023.3234800
Abstract: Event cameras are novel bio-inspired sensors that offer advantages over traditional cameras (low latency, high dynamic range, low power, etc.). Optical flow estimation methods that work on packets of events trade off speed for accuracy,… read more here.
Keywords: event; optical flow; triplet matching; flow estimation ... See more keywords
Optical Flow Estimation Using Dual Self-Attention Pyramid Networks
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2019.2943140
Abstract: Recently, optical flow estimation benefits greatly from deep learning based techniques. Most approaches use encoder-decoder architecture (U-Net) or spatial pyramid network (SPN) to learn optical flow. Both U-Net and SPN can extract multi-scale features and… read more here.
Keywords: dual self; attention; optical flow; flow estimation ... See more keywords
3-D Scene Flow Estimation on Pseudo-LiDAR: Bridging the Gap on Estimating Point Motion
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2022.3210560
Abstract: 3-D scene flow characterizes how the points at the current time flow to the next time in the 3-D Euclidean space, which possesses the capacity to infer autonomously the nonrigid motion of all objects in… read more here.
Keywords: flow estimation; scene flow; lidar; scene ... See more keywords
Learning Dense and Continuous Optical Flow From an Event Camera
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2022.3220938
Abstract: Event cameras such as DAVIS can simultaneously output high temporal resolution events and low frame-rate intensity images, which own great potential in capturing scene motion, such as optical flow estimation. Most of the existing optical… read more here.
Keywords: flow estimation; event; flow; dense continuous ... See more keywords