Results 271 to 280 of about 60,644 (302)

Optical Flow Estimation

2013
Optical flow is the velocity vector field of the projected environmental surfaces when a viewing system moves relative to the environment.
Amar Mitiche, J.K Aggarwal
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Optical Flow Estimation

2011
In this chapter we review the estimation of the two-dimensional apparent motion field of two consecutive images in an image sequence. This apparent motion field is referred to as optical flow field, a two-dimensional vector field on the image plane.
Andreas Wedel, Daniel Cremers
openaire   +1 more source

A framework for the robust estimation of optical flow

1993 (4th) International Conference on Computer Vision, 2002
The authors consider the problem of robustly estimating optical flow from a pair of images using a new framework based on robust estimation which addresses violations of the brightness constancy and spatial smoothness assumptions. They also show the relationship between the robust estimation framework and line-process approaches for coping with spatial
Michael J. Black, P. Anandan 0001
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The Development of Distance Estimation in Optic Flow

Perception, 2004
In three experiments we tested the ability of children aged 8 to 12 years and adults to locate a target in an optic texture flow projected onto the ground. During the exposure phase, a static target (diode) was lit up at 6 m or 8 m on the ground in front of the subject. During the pointing phase, the subject was asked to indicate the perceived location
Baumberger B, Flückiger M
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Optical Flow Based Pose Estimation

Proceedings of the 2018 2nd International Conference on Cloud and Big Data Computing, 2018
In this paper, we present a new variant of ICP (iterative closest point) algorithm based on optical flow for finding better 3D point correspondence and computing six-degrees of freedom (6-DOF) pose of the rigid objects. Our approach integrates optical flow algorithm to ICP method, and proposed method gets advantage of higher resolution of the RGB ...
Mehmet Akif Alper, Hammid Al-Ghezi, Ali Nassib, Yasar Guzel   +3 more
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Method for improving optical flow estimation

Journal of Electronic Imaging, 2018
A method is proposed that improves the robustness and accuracy of optical flow estimation in real complex scenes. The method overcomes the limitations incurred by illumination variations using a combination of the brightness constancy and gradient constancy.
Naigong Yu, Yue Chen, Yuling Zheng
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Consistent segmentation for optical flow estimation

Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1, 2005
In this paper, we propose a method for jointly computing optical flow and segmenting video while accounting for mixed pixels (matting). Our method is based on statistical modeling of an image pair using constraints on appearance and motion. Segments are viewed as overlapping regions with fractional (alpha) contributions.
C. Lawrence Zitnick, Nebojsa Jojic, Sing Bing Kang   +2 more
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Optical flow estimation: Advances and comparisons

1994
This contribution investigates local differential techniques for estimating optical flow and its derivatives based on the brightness change constraint. By using the tensor calculus representation we build the Taylor expansion of the gray-value derivatives as well as of the optical flow in a spatiotemporal neighborhood.
Otte, Michael, Nagel Hans-hellmut
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A Temporal Regularizer for Large Optical Flow Estimation

2006 International Conference on Image Processing, 2006
The aim of this work is to propose a model for computing the optical flow in a sequence of images with a spatio-temporal regularizer explicitly designed for large displacements. We study the introduction of a temporal regularizer that expands the information beyond two consecutive frames.
Agustín Salgado, Javier Sánchez Pérez
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An Efficient Algorithm for Estimating the Inverse Optical Flow

2013
397
Javier Sánchez Pérez, Agustín Salgado, Nelson Monzón   +2 more
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