Results 21 to 30 of about 341,318 (278)
StereoVO: Learning Stereo Visual Odometry Approach Based on Optical Flow and Depth Information
Applied Sciences, 2023 We present a novel stereo visual odometry (VO) model that utilizes both optical flow and depth information. While some existing monocular VO methods demonstrate superior performance, they require extra frames or information to initialize the model in ...
Chao Duan +3 more
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Prediction and Tracking of Moving Objects in Image Sequences [PDF]
, 2000 We employ a prediction model for moving object velocity and location estimation derived from Bayesian theory. The optical flow of a certain moving object depends on the history of its previous values.
Bors, A G, Pitas, I
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Optical Flow on Evolving Surfaces with an Application to the Analysis of 4D Microscopy Data [PDF]
, 2013 We extend the concept of optical flow to a dynamic non-Euclidean setting. Optical flow is traditionally computed from a sequence of flat images. It is the purpose of this paper to introduce variational motion estimation for images that are defined on an ...
A. Imiya +11 more
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OPTICAL FLOW FOR GLACIER MOTION ESTIMATION [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2012 Quantitative measurements of glacier flow over time are an important ingredient for glaciological research, for example to determine the mass balances and the evolution of glaciers. Measuring glacier flow in multi-temporal images involves the estimation
C. Vogel, A. Bauder, K. Schindler
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Dense Descriptors for Optical Flow Estimation: A Comparative Study
Journal of Imaging, 2017 Estimating the displacements of intensity patterns between sequential frames is a very well-studied problem, which is usually referred to as optical flow estimation.
Ahmadreza Baghaie +2 more
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Sensors, 2023 In this paper, we propose a robust and integrated visual odometry framework exploiting the optical flow and feature point method that achieves faster pose estimate and considerable accuracy and robustness during the odometry process.
Haiyang Qiu +6 more
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EpicFlow: Edge-Preserving Interpolation of Correspondences for Optical Flow [PDF]
, 2015 We propose a novel approach for optical flow estimation , targeted at large displacements with significant oc-clusions. It consists of two steps: i) dense matching by edge-preserving interpolation from a sparse set of matches; ii) variational energy ...
Harchaoui, Zaid +3 more
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Deep Equilibrium Optical Flow Estimation
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022 CVPR ...
Bai, Shaojie +3 more
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Deep Optical Flow Supervised Learning With Prior Assumptions
IEEE Access, 2018 Traditional methods for estimating optical flow use variational model that includes data term and smoothness term, which can build a constraint relationship between two adjacent images and optical flow.
Xuezhi Xiang +4 more
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Dynamically consistent optical flow estimation [PDF]
2007 IEEE 11th International Conference on Computer Vision, 2007 In this paper, we present a framework for dynamic consistent estimation of dense motion fields over a sequence of images. The originality of the approach is to exploit recipes related to optimal control theory. This setup allows performing the estimation of an unknown state function according to a given dynamical model and to noisy and incomplete ...
Papadakis, Nicolas +2 more
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