Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-14T11:14:53.276073Z
Paper Citation Record · LEDGER
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.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-14T11:14:53.276073Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
48 of 48 outbound references displayed
External citation measurements
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Observation 7c4eb655-65a0-4b06-8b3b-9da8b3e45140 · outbound
An Evaluation of Feature Matchers for Fundamental Matrix Estimation Building Rome in a day
Reference 1
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An Evaluation of Feature Matchers for Fundamental Matrix Estimation Three things everyone should know to improve object retrieval
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An Evaluation of Feature Matchers for Fundamental Matrix Estimation Overall view regarding fundamental matrix esti- mation
Reference 3
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An Evaluation of Feature Matchers for Fundamental Matrix Estimation Learning local feature descriptors with triplets and shallow convolutional neural networks
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An Evaluation of Feature Matchers for Fundamental Matrix Estimation HPatches: A benchmark and evaluation of handcrafted and learned local descriptors
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An Evaluation of Feature Matchers for Fundamental Matrix Estimation Graph-Cut RANSAC
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An Evaluation of Feature Matchers for Fundamental Matrix Estimation GMS: Grid-based motion statistics for fast, ultra-robust feature correspondence
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An Evaluation of Feature Matchers for Fundamental Matrix Estimation Discriminative learning of local im- age descriptors
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An Evaluation of Feature Matchers for Fundamental Matrix Estimation Kernel local descriptors with implicit rotation matching
Reference 9
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An Evaluation of Feature Matchers for Fundamental Matrix Estimation Performance evaluation of RANSAC family
Reference 10
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An Evaluation of Feature Matchers for Fundamental Matrix Estimation MonoSLAM: Real-time single camera slam
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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
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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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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An Evaluation of Feature Matchers for Fundamental Matrix Estimation SVO: Fast semi-direct monocular visual odometry
Reference 15
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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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Observation 7b429667-6ae4-4e9c-bdc6-1aeb0102cc72 · outbound
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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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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An Evaluation of Feature Matchers for Fundamental Matrix Estimation Tanks and Tem- ples: Benchmarking large-scale scene reconstruction
Reference 21
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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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An Evaluation of Feature Matchers for Fundamental Matrix Estimation CODE: Coherence based decision boundaries for feature cor- respondence
Reference 23
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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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Observation 8f12bd18-7a97-4d36-9002-27fe4ec79cda · outbound
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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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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An Evaluation of Feature Matchers for Fundamental Matrix Estimation A comparative analysis of RANSAC techniques leading to adaptive real-time random sample consensus
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An Evaluation of Feature Matchers for Fundamental Matrix Estimation USAC: a universal framework for random sample consensus
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An Evaluation of Feature Matchers for Fundamental Matrix Estimation Deep fundamental matrix estimation
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An Evaluation of Feature Matchers for Fundamental Matrix Estimation Robust regression and outlier detection , volume 589
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An Evaluation of Feature Matchers for Fundamental Matrix Estimation Structure-from-motion revisited
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An Evaluation of Feature Matchers for Fundamental Matrix Estimation From single image query to detailed 3d reconstruction
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An Evaluation of Feature Matchers for Fundamental Matrix Estimation Com- parative evaluation of hand-crafted and learned local features
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An Evaluation of Feature Matchers for Fundamental Matrix Estimation Sturm, N
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An Evaluation of Feature Matchers for Fundamental Matrix Estimation L2-Net: Deep learning of discriminative patch descriptor in euclidean space
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An Evaluation of Feature Matchers for Fundamental Matrix Estimation The development and comparison of robust methods for estimating the fundamental matrix
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An Evaluation of Feature Matchers for Fundamental Matrix Estimation Performance characterization of fundamental matrix estimation under image degradation
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An Evaluation of Feature Matchers for Fundamental Matrix Estimation Learning to find good correspondences
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An Evaluation of Feature Matchers for Fundamental Matrix Estimation Determining the epipolar geometry and its uncertainty: A review
Reference 48
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No inbound Pith citation observations are available.