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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
openaire   +3 more sources

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   +3 more
openaire   +1 more source

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
openaire   +1 more source

Estimation of optical flow for occlusion using extrapolation

Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101), 2002
The accuracy of optical flow estimation is much worth on the occluded and appeared objects. In this paper, we describe an extrapolation method for improving the accuracy of optical flow estimation based on the characteristics of constraint lines in the velocity space and the extraction of the occluded/appeared regions using cluster analysis.
Imamura, H.   +2 more
openaire   +3 more sources

Multiple Combined Constraints for Optical Flow Estimation

2007
Several approaches to optical flow estimation use differential methods to model changes in image brightness over time. In computer vision it is often desirable to over constrain the problem to more precisely determine the solution and enforce robustness.
Fahad, Ahmed, Morris, Tim
openaire   +2 more sources

An Efficient Algorithm for Estimating the Inverse Optical Flow

2013
397
Javier Sánchez Pérez   +2 more
openaire   +2 more sources

SDOF-GAN: Symmetric Dense Optical Flow Estimation With Generative Adversarial Networks

IEEE Transactions on Image Processing, 2021
Weikuan Jia, Chen Gong, Yuanjie Zheng
exaly  

Optical Flow Estimation Using Genetic Algorithms

2006
This paper illustrates a new optical flow estimation technique, which builds upon a genetic algorithm (GA). First, the current frame is segmented into generic shape regions, using only brightness information. For each region a two-parameter motion model is estimated using a GA.
openaire   +2 more sources

SPARSE OPTICAL FLOW ESTIMATION

2022
LIN JAMIE MENJAY, PORIKLI FATIH MURAT
openaire   +2 more sources

Motion Estimation by Hybrid Optical Flow Technology for UAV Landing in an Unvisited Area

Sensors, 2019
Tsunglin Chen   +2 more
exaly  

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