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Paper Citation Record · LEDGER

An Evaluation of Feature Matchers for Fundamental Matrix Estimation

As of 16 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 0 inbound Pith citation observations for arXiv:1908.09474.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
1908.09474 v2

Coverage vector

measured 48 of 48 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T11:14:53.276073Z

measured 48 of 48 standing notices

One-hop event checks from named stored sources.

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

48 of 48 outbound references displayed

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External citation measurements

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Outbound references

Observation 7c4eb655-65a0-4b06-8b3b-9da8b3e45140 · outbound

This paper cites Building Rome in a day.

An Evaluation of Feature Matchers for Fundamental Matrix Estimation Building Rome in a day

Reference 1

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Observation c67e2ee9-17b5-437e-ae8f-b002016317fe · outbound

This paper cites Three things everyone should know to improve object retrieval.

An Evaluation of Feature Matchers for Fundamental Matrix Estimation Three things everyone should know to improve object retrieval

Reference 2

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This paper cites Overall view regarding fundamental matrix esti- mation.

An Evaluation of Feature Matchers for Fundamental Matrix Estimation Overall view regarding fundamental matrix esti- mation

Reference 3

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Observation 58416d1f-7128-47fc-9280-55b3a3b1cc4b · outbound

This paper cites Learning local feature descriptors with triplets and shallow convolutional neural networks.

An Evaluation of Feature Matchers for Fundamental Matrix Estimation Learning local feature descriptors with triplets and shallow convolutional neural networks

Reference 4

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Observation 74021ba8-9edd-46e9-9b25-3d73e19ebfa8 · outbound

This paper cites HPatches: A benchmark and evaluation of handcrafted and learned local descriptors.

An Evaluation of Feature Matchers for Fundamental Matrix Estimation HPatches: A benchmark and evaluation of handcrafted and learned local descriptors

Reference 5

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Observation ef21e50f-0152-4d02-8db3-56eb8a310bcb · outbound

This paper cites Graph-Cut RANSAC.

An Evaluation of Feature Matchers for Fundamental Matrix Estimation Graph-Cut RANSAC

Reference 6

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Observation 65522fbb-fc09-4f0c-bf05-db8261c6d24b · outbound

This paper cites GMS: Grid-based motion statistics for fast, ultra-robust feature correspondence.

An Evaluation of Feature Matchers for Fundamental Matrix Estimation GMS: Grid-based motion statistics for fast, ultra-robust feature correspondence

Reference 7

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Observation 6614b5a3-7ff8-43dc-b5d1-cfacfa53ec3f · outbound

This paper cites Discriminative learning of local im- age descriptors.

An Evaluation of Feature Matchers for Fundamental Matrix Estimation Discriminative learning of local im- age descriptors

Reference 8

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Observation db0636fa-1df6-436e-a9d2-644c494814d8 · outbound

This paper cites Kernel local descriptors with implicit rotation matching.

An Evaluation of Feature Matchers for Fundamental Matrix Estimation Kernel local descriptors with implicit rotation matching

Reference 9

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Observation 86541867-fddd-43b9-bd27-690b036b3172 · outbound

This paper cites Performance evaluation of RANSAC family.

An Evaluation of Feature Matchers for Fundamental Matrix Estimation Performance evaluation of RANSAC family

Reference 10

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Observation 4732477c-cab5-44e0-aed6-511f4e71af5a · outbound

This paper cites MonoSLAM: Real-time single camera slam.

An Evaluation of Feature Matchers for Fundamental Matrix Estimation MonoSLAM: Real-time single camera slam

Reference 11

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Observation 228bb6cb-1bcc-4a8b-a517-b6cc140ee84c · outbound

This paper cites Domain-size pooling in local descriptors: DSP- SIFT.

An Evaluation of Feature Matchers for Fundamental Matrix Estimation Domain-size pooling in local descriptors: DSP- SIFT

Reference 12

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Observation 71ea0b0c-539c-4dbc-9704-943d3c3c2516 · outbound

This paper cites Fundamental matrix estimation: A study of error criteria.Pattern Recognition Letters, 32(2):383–391, 2011.

An Evaluation of Feature Matchers for Fundamental Matrix Estimation Fundamental matrix estimation: A study of error criteria.Pattern Recognition Letters, 32(2):383–391, 2011

Reference 13

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Observation 5b523325-1ed1-4ad6-af0b-032f718789d0 · outbound

This paper cites Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography.

An Evaluation of Feature Matchers for Fundamental Matrix Estimation Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography

Reference 14

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This paper cites SVO: Fast semi-direct monocular visual odometry.

An Evaluation of Feature Matchers for Fundamental Matrix Estimation SVO: Fast semi-direct monocular visual odometry

Reference 15

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This paper cites Are we ready for autonomous driv- ing? the KITTI vision benchmark suite.

An Evaluation of Feature Matchers for Fundamental Matrix Estimation Are we ready for autonomous driv- ing? the KITTI vision benchmark suite

Reference 16

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This paper cites Multiple view geometry in computer vision.

An Evaluation of Feature Matchers for Fundamental Matrix Estimation Multiple view geometry in computer vision

Reference 17

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An Evaluation of Feature Matchers for Fundamental Matrix Estimation In defense of the eight-point algorithm

Reference 18

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An Evaluation of Feature Matchers for Fundamental Matrix Estimation Comparative evaluation of bi- nary features

Reference 19

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Observation 8d807d4c-7fc2-4c0e-b39d-8f5b098aafd1 · outbound

This paper cites Re- constructing the world* in six days*(as captured by the yahoo 100 million image dataset).

An Evaluation of Feature Matchers for Fundamental Matrix Estimation Re- constructing the world* in six days*(as captured by the yahoo 100 million image dataset)

Reference 20

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This paper cites Tanks and Tem- ples: Benchmarking large-scale scene reconstruction.

An Evaluation of Feature Matchers for Fundamental Matrix Estimation Tanks and Tem- ples: Benchmarking large-scale scene reconstruction

Reference 21

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This paper cites An evaluation of the performance of RANSAC algorithms for stereo camera calibrarion.

An Evaluation of Feature Matchers for Fundamental Matrix Estimation An evaluation of the performance of RANSAC algorithms for stereo camera calibrarion

Reference 22

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This paper cites CODE: Coherence based decision boundaries for feature cor- respondence.

An Evaluation of Feature Matchers for Fundamental Matrix Estimation CODE: Coherence based decision boundaries for feature cor- respondence

Reference 23

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This paper cites Distinctive image features from scale-invariant keypoints.International Journal on Computer Vision (IJCV), 60(2):91–110, 2004.

An Evaluation of Feature Matchers for Fundamental Matrix Estimation Distinctive image features from scale-invariant keypoints.International Journal on Computer Vision (IJCV), 60(2):91–110, 2004

Reference 24

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An Evaluation of Feature Matchers for Fundamental Matrix Estimation GeoDesc: Learning local descriptors by integrating geometry constraints

Reference 25

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An Evaluation of Feature Matchers for Fundamental Matrix Estimation Locality preserving matching

Reference 26

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An Evaluation of Feature Matchers for Fundamental Matrix Estimation A performance evaluation of local descrip- tors

Reference 27

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An Evaluation of Feature Matchers for Fundamental Matrix Estimation A comparison of affine region detectors

Reference 28

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An Evaluation of Feature Matchers for Fundamental Matrix Estimation Working hard to know your neighbor’s margins: Local descriptor learning loss

Reference 29

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This paper cites Repeatability is not enough: Learn- ing affine regions via discriminability.

An Evaluation of Feature Matchers for Fundamental Matrix Estimation Repeatability is not enough: Learn- ing affine regions via discriminability

Reference 30

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An Evaluation of Feature Matchers for Fundamental Matrix Estimation ORB-SLAM: a versatile and accurate monocular slam system

Reference 31

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An Evaluation of Feature Matchers for Fundamental Matrix Estimation From dusk till dawn: Modeling in the dark

Reference 32

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This paper cites A comparative analysis of RANSAC techniques leading to adaptive real-time random sample consensus.

An Evaluation of Feature Matchers for Fundamental Matrix Estimation A comparative analysis of RANSAC techniques leading to adaptive real-time random sample consensus

Reference 33

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An Evaluation of Feature Matchers for Fundamental Matrix Estimation USAC: a universal framework for random sample consensus

Reference 34

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Observation 7d788257-33c7-4386-9a0d-caad5220dff9 · outbound

This paper cites Deep fundamental matrix estimation.

An Evaluation of Feature Matchers for Fundamental Matrix Estimation Deep fundamental matrix estimation

Reference 35

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 7c6a0779-3e06-422d-b882-5deef2b03712 · outbound

This paper cites Robust regression and outlier detection , volume 589.

An Evaluation of Feature Matchers for Fundamental Matrix Estimation Robust regression and outlier detection , volume 589

Reference 36

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Observation 7e2bf4ef-5930-48d9-8849-1c3e52c22199 · outbound

This paper cites Structure-from-motion revisited.

An Evaluation of Feature Matchers for Fundamental Matrix Estimation Structure-from-motion revisited

Reference 37

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Observation 08d5acf8-020b-4c31-9f98-34135244d752 · outbound

This paper cites From single image query to detailed 3d reconstruction.

An Evaluation of Feature Matchers for Fundamental Matrix Estimation From single image query to detailed 3d reconstruction

Reference 38

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Observation 6518c8c5-97c0-4988-93ab-b1aac6cf9e9c · outbound

This paper cites Com- parative evaluation of hand-crafted and learned local features.

An Evaluation of Feature Matchers for Fundamental Matrix Estimation Com- parative evaluation of hand-crafted and learned local features

Reference 39

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Observation abc616ab-cf8e-47ef-8725-da835549969a · outbound

This paper cites Sturm, N.

An Evaluation of Feature Matchers for Fundamental Matrix Estimation Sturm, N

Reference 40

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verified fuzzy
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Observation 6f4cd872-1465-445e-b41f-f7595625ba05 · outbound

This paper cites L2-Net: Deep learning of discriminative patch descriptor in euclidean space.

An Evaluation of Feature Matchers for Fundamental Matrix Estimation L2-Net: Deep learning of discriminative patch descriptor in euclidean space

Reference 41

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verified fuzzy
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Observation 7cd70727-51ef-4fe5-ba15-33525f4c90a4 · outbound

This paper cites The development and comparison of robust methods for estimating the fundamental matrix.

An Evaluation of Feature Matchers for Fundamental Matrix Estimation The development and comparison of robust methods for estimating the fundamental matrix

Reference 42

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verified fuzzy
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Observation 2f93f577-8fec-46d4-ada7-e026120e58dd · outbound

This paper cites MLESAC: A new robust estimator with ap- plication to estimating image geometry.

An Evaluation of Feature Matchers for Fundamental Matrix Estimation MLESAC: A new robust estimator with ap- plication to estimating image geometry

Reference 43

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verified fuzzy
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Source-reported events for the cited work

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Observation 64079896-692c-4661-95ec-dd9b5ade4cdc · outbound

This paper cites Performance characterization of fundamental matrix estimation under image degradation.

An Evaluation of Feature Matchers for Fundamental Matrix Estimation Performance characterization of fundamental matrix estimation under image degradation

Reference 44

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Observation 06f1ea33-fa41-471e-b9d0-1a0db12b01d5 · outbound

This paper cites VLFeat: An open and portable library of com- puter vision algorithms.

An Evaluation of Feature Matchers for Fundamental Matrix Estimation VLFeat: An open and portable library of com- puter vision algorithms

Reference 45

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verified fuzzy
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Source-reported events for the cited work

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Observation b362d465-4e02-48cd-9ef0-fc4635b4552d · outbound

This paper cites Robust global translations with 1DSFM.

An Evaluation of Feature Matchers for Fundamental Matrix Estimation Robust global translations with 1DSFM

Reference 46

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verified fuzzy
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Observation 1771813d-5ed3-4148-89fb-d156e3f8b3aa · outbound

This paper cites Learning to find good correspondences.

An Evaluation of Feature Matchers for Fundamental Matrix Estimation Learning to find good correspondences

Reference 47

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verified fuzzy
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Source-reported events for the cited work

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Observation 0da4f088-3ba7-4584-a0cb-b5a2ec8b1fcb · outbound

This paper cites Determining the epipolar geometry and its uncertainty: A review.

An Evaluation of Feature Matchers for Fundamental Matrix Estimation Determining the epipolar geometry and its uncertainty: A review

Reference 48

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verified exact
doi, observed 2026-08-14T11:14:53.316069Z

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Pith citing papers

No inbound Pith citation observations are available.