This page describes and provides the different datasets, network descriptions and code used for training and evaluating the networks in INV-Flow2PoseNet.
There are two different subsets available:
SyntheticData
Train_ConsistentLight
Test_ConsistentLight
Train_InConsistentLight
Test_InConsistentLight
BuddhaBirdRealData
Example data from the SyntheticData (top) and the BuddhaBirdRealData (bottom). There are images, normals, depth maps, optical flow between the views, intrinsic and extrinsic calibration data avalable.
T. Fetzer, G.Reis and D. Stricker, "INV-Flow2PoseNet: Light-Resistant Rigid Object Pose from Optical Flow of RGB-D Images using Images, Normals and Vertices", arXiv:2209.06562v1
INV-Flow2PoseNet Datasets and Networks are made freely available to academic and non-academic entities for non-commercial purposes such as academic research, teaching, scientific publications, or personal experimentation. Permission is granted to use the data given that you agree:
That the dataset comes "AS IS", without express or implied warranty. Although every effort has been made to ensure accuracy, we (DFKI GmbH, Kaiserslautern, Germany) do not accept any responsibility for errors or omissions.
That you include a reference to the INV-Flow2PoseNet Dataset in any work that makes use of the dataset. For research papers and other publications, cite our publication: INV-Flow2PoseNet: Light-Resistant Rigid Object Pose from Optical Flow of RGB-D Images using Images, Normals and Vertices, T. Fetzer, G.Reis and D. Stricker.
That you may not use the dataset or any derivative work for commercial purposes as, for example, licensing or selling the data, or using the data with a purpose to procure a commercial gain.
That all rights not expressly granted to you are reserved by DFKI GmbH, Kaiserslautern, Germany.
By downloading the dataset, you agree to this license agreement.
Management:
Prof. Dr. Antonio Krüger
Helmut Ditzer
Trippstadter Str. 122
67663 Kaiserslautern
Germany
Phone: +49 631 20575 0
Fax: +49 631 20575 5030
Email: info@dfki.de
The person responsible for the editorial content of the domain https://www.dfki.uni-kl.de/~fetzer/flow2pose.html of the German Research Center for Artificial Intelligence GmbH within the meaning of § 18 para. 2 MStV is:
Prof. Dr. Didier Stricker
Augmented Vision Department Director
Trippstadter Str. 122
67663 Kaiserslautern
Germany
Phone: +49 631 20575 3500
Fax: +49 631 20575 3520
E-mail: didier.stricker@dfki.de
Website URL: www.dfki.de
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