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Part 1: Document Description
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Citation |
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Title: |
Neural-Guided RANSAC for Estimating Epipolar Geometry [Data] |
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Identification Number: |
doi:10.11588/data/PCGYET |
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Distributor: |
heiDATA |
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Date of Distribution: |
2020-09-07 |
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Version: |
1 |
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Bibliographic Citation: |
Brachmann, Eric, 2020, "Neural-Guided RANSAC for Estimating Epipolar Geometry [Data]", https://doi.org/10.11588/data/PCGYET, heiDATA, V1 |
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Citation |
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Title: |
Neural-Guided RANSAC for Estimating Epipolar Geometry [Data] |
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Identification Number: |
doi:10.11588/data/PCGYET |
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Authoring Entity: |
Brachmann, Eric (Heidelberg University) |
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Date of Production: |
2019-03-31 |
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Distributor: |
heiDATA |
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Distributor: |
heiDATA: Heidelberg Research Data Repository |
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Access Authority: |
Brachmann, Eric |
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Date of Deposit: |
2020-08-28 |
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Holdings Information: |
https://doi.org/10.11588/data/PCGYET |
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Study Scope |
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Keywords: |
Computer and Information Science, Computer Vision, Machine Learning, Neural networks (Computer science) |
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Abstract: |
Pre-computed sparse feature correspondences for pairs of images (outdoor and indoor) to reproduce the experiments described in our paper, particularly to train and evaluate NG-RANSAC. For more information, also see the code documentation: https://github.com/vislearn/ngransac |
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Methodology and Processing |
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Sources Statement |
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Data Access |
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Other Study Description Materials |
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Related Publications |
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Citation |
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Title: |
"Neural-Guided RANSAC: Learning Where to Sample Model Hypotheses"; Eric Brachmann, Carsten Rother; ICCV, 2019; |
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Identification Number: |
1905.04132 |
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Bibliographic Citation: |
"Neural-Guided RANSAC: Learning Where to Sample Model Hypotheses"; Eric Brachmann, Carsten Rother; ICCV, 2019; |
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Label: |
epi_data.tar.gz |
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Text: | |
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Notes: |
application/gzip |