Results 21 to 30 of about 60,644 (302)
Segmentation and estimation of the optical flow [PDF]
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
OPTICAL FLOW FOR GLACIER MOTION ESTIMATION [PDF]
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
doaj +1 more source
StereoVO: Learning Stereo Visual Odometry Approach Based on Optical Flow and Depth Information
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
doaj +1 more source
Optical Flow Estimation for Spiking Camera
As a bio-inspired sensor with high temporal resolution, the spiking camera has an enormous potential in real applications, especially for motion estimation in high-speed scenes. However, frame-based and event-based methods are not well suited to spike streams from the spiking camera due to the different data modalities. To this end, we present, SCFlow,
Liwen Hu 0002 +6 more
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Dense Descriptors for Optical Flow Estimation: A Comparative Study
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
doaj +1 more source
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
doaj +1 more source
Deep Equilibrium Optical Flow Estimation
CVPR ...
Shaojie Bai +3 more
openaire +2 more sources
Deep Optical Flow Supervised Learning With Prior Assumptions
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
doaj +1 more source
Weekly Glacier Flow Estimation from Dense Satellite Time Series Using Adapted Optical Flow Technology [PDF]
Contemporary optical remote sensing satellites or constellations of satellites can acquire imagery at sub-weekly or even daily timescales. These systems have the potential to facilitate intra-seasonal, short-term surface velocity variations across a ...
Kääb, Andreas +3 more
core +1 more source
Imposing Consistency for Optical Flow Estimation
CVPR ...
Jisoo Jeong +3 more
openaire +2 more sources

