Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-14T05:38:47.078260Z
Paper Citation Record · LEDGER
Performance comparison of 3D correspondence grouping algorithm for 3D plant point clouds
As of 20 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:1909.00866.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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
Reference resolution
27 of 27 outbound references displayed
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External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 5c0c62ba-54d1-489b-821e-469c340ec36b · outbound
This paper cites A meta-analysis of crop yield under climate change and adaptation.
Performance comparison of 3D correspondence grouping algorithm for 3D plant point clouds A meta-analysis of crop yield under climate change and adaptation
Reference 1
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 5c6cb3e9-0f03-422f-b918-7944d9723791 · outbound
This paper cites Lights, camera, action: high-throughput plant phenotyping is ready for a close-up.
Performance comparison of 3D correspondence grouping algorithm for 3D plant point clouds Lights, camera, action: high-throughput plant phenotyping is ready for a close-up
Reference 2
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 7d1c1c17-17e7-42f5-a1a4-f9064be37a41 · outbound
This paper cites Image analysis: the new bottleneck in plant phenotyping [applications corner].
Performance comparison of 3D correspondence grouping algorithm for 3D plant point clouds Image analysis: the new bottleneck in plant phenotyping [applications corner]
Reference 3
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 6763823f-a27b-4169-8480-c21dd1b0438c · outbound
This paper cites Imaging system for classification of local flora of uttarakhand region.
Performance comparison of 3D correspondence grouping algorithm for 3D plant point clouds Imaging system for classification of local flora of uttarakhand region
Reference 4
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 9122eb5a-fc31-4cf6-9846-36c1a1196bd1 · outbound
This paper cites Novel low cost 3d surface model reconstruction system for plant phenotyping.
Performance comparison of 3D correspondence grouping algorithm for 3D plant point clouds Novel low cost 3d surface model reconstruction system for plant phenotyping
Reference 5
- Resolution
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- raw_fallback, observed 2026-08-14T05:38:48.498847Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 29974b71-76ef-4648-ad37-2230b7c0679c · outbound
This paper cites Local shape feature fusion for improved matching, pose estimation and 3d object recognition.
Performance comparison of 3D correspondence grouping algorithm for 3D plant point clouds Local shape feature fusion for improved matching, pose estimation and 3d object recognition
Reference 6
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 84a2a0cc-deaf-446b-a2d4-dfe059a42c28 · outbound
This paper cites Fast descriptors and correspondence propagation for robust global point cloud registration.
Performance comparison of 3D correspondence grouping algorithm for 3D plant point clouds Fast descriptors and correspondence propagation for robust global point cloud registration
Reference 7
- Resolution
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- raw_fallback, observed 2026-08-14T05:38:48.338067Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 605be9dc-8a20-41c4-ba30-b59999f8bec0 · outbound
This paper cites Data-driven 3d voxel patterns for object category recognition.
Performance comparison of 3D correspondence grouping algorithm for 3D plant point clouds Data-driven 3d voxel patterns for object category recognition
Reference 8
- Resolution
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- raw_fallback, observed 2026-08-14T05:38:48.316279Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 6c6158a6-0361-45b1-a95e-1189788fab85 · outbound
This paper cites In search of inliers: 3d corre- spondence by local and global voting.
Performance comparison of 3D correspondence grouping algorithm for 3D plant point clouds In search of inliers: 3d corre- spondence by local and global voting
Reference 9
- Resolution
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- raw_fallback, observed 2026-08-14T05:38:48.300067Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 88b29d28-9a2e-4bc7-97d9-15174b33ada7 · outbound
This paper cites Performance evaluation of 3d correspondence grouping algorithms.
Performance comparison of 3D correspondence grouping algorithm for 3D plant point clouds Performance evaluation of 3d correspondence grouping algorithms
Reference 10
- Resolution
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- raw_fallback, observed 2026-08-14T05:38:48.228661Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation f0f1c727-6cee-4413-8f30-3f60ee8d8989 · outbound
This paper cites Fast matching of binary features.
Performance comparison of 3D correspondence grouping algorithm for 3D plant point clouds Fast matching of binary features
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T05:38:48.152909Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 91de1a3b-fd6f-4455-b617-9a23060fd885 · outbound
This paper cites Robustifying corre- spondence based 6d object pose estimation.
Performance comparison of 3D correspondence grouping algorithm for 3D plant point clouds Robustifying corre- spondence based 6d object pose estimation
Reference 12
- Resolution
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- raw_fallback, observed 2026-08-14T05:38:48.124498Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 8707bfa2-592b-4f5c-87b1-e3f8f1776f83 · outbound
This paper cites Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography.
Performance comparison of 3D correspondence grouping algorithm for 3D plant point clouds Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography
Reference 13
- Resolution
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- raw_fallback, observed 2026-08-14T05:38:48.108139Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 9c1488f3-15a9-482d-9321-6de32a2ef9fc · outbound
This paper cites 3d free-form object recognition in range images using local surface patches.
Performance comparison of 3D correspondence grouping algorithm for 3D plant point clouds 3d free-form object recognition in range images using local surface patches
Reference 14
- Resolution
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- raw_fallback, observed 2026-08-14T05:38:48.091903Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation ad068967-a6f1-40e7-976c-f7c5e4ae5ba2 · outbound
This paper cites Ranking 3d feature correspondences via consistency voting.
Performance comparison of 3D correspondence grouping algorithm for 3D plant point clouds Ranking 3d feature correspondences via consistency voting
Reference 15
- Resolution
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- raw_fallback, observed 2026-08-14T05:38:48.045542Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation a33fcfb0-667f-421c-9163-9ccf79e7b632 · outbound
This paper cites Object recognition in 3d scenes with occlusions and clutter by hough voting.
Performance comparison of 3D correspondence grouping algorithm for 3D plant point clouds Object recognition in 3d scenes with occlusions and clutter by hough voting
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T05:38:47.942990Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 6b465968-56d8-484f-a334-aba90a33359a · outbound
This paper cites Rotational subgroup voting and pose clustering for robust 3d object recognition.
Performance comparison of 3D correspondence grouping algorithm for 3D plant point clouds Rotational subgroup voting and pose clustering for robust 3d object recognition
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T05:38:47.925495Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation dbfb74a0-1084-4f77-b75c-74245285ebd1 · outbound
This paper cites Mlesac: A new robust estimator with application to estimating image geometry.
Performance comparison of 3D correspondence grouping algorithm for 3D plant point clouds Mlesac: A new robust estimator with application to estimating image geometry
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T05:38:47.909031Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 1d8a0cba-0afe-486a-950e-954e469bdf93 · outbound
This paper cites Research on sift image matching based on mlesac algorithm.
Performance comparison of 3D correspondence grouping algorithm for 3D plant point clouds Research on sift image matching based on mlesac algorithm
Reference 19
- Resolution
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- raw_fallback, observed 2026-08-14T05:38:47.891568Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation e0a289f1-ee98-439a-a896-7b50196616f4 · outbound
This paper cites Feature correspondence via graph matching: Models and global optimization.
Performance comparison of 3D correspondence grouping algorithm for 3D plant point clouds Feature correspondence via graph matching: Models and global optimization
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T05:38:47.595929Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 2dc5dfae-fc4a-46e8-8343-54ca933c6ec1 · outbound
This paper cites Distinctive image features from scale-invariant keypoints.
Performance comparison of 3D correspondence grouping algorithm for 3D plant point clouds Distinctive image features from scale-invariant keypoints
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T05:38:47.044176Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a4efa956-6959-4a47-aa2c-941cd1bc6b72 · outbound
This paper cites An efficient ransac for 3d object recognition in noisy and occluded scenes.
Performance comparison of 3D correspondence grouping algorithm for 3D plant point clouds An efficient ransac for 3d object recognition in noisy and occluded scenes
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T05:38:47.529590Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 3336c383-b964-4194-a0e1-094c02854588 · outbound
This paper cites Surface matching for object recognition in complex 3-d scenes.
Performance comparison of 3D correspondence grouping algorithm for 3D plant point clouds Surface matching for object recognition in complex 3-d scenes
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T05:38:47.511884Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 0e805fdc-6970-4fc3-b1b2-de68cb2f9537 · outbound
This paper cites Method and means for recognizing complex patterns, December 18 1962.
Performance comparison of 3D correspondence grouping algorithm for 3D plant point clouds Method and means for recognizing complex patterns, December 18 1962
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T05:38:47.063031Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 27262ca5-2088-48e6-864f-809f6962f358 · outbound
This paper cites 3d scans of plant shoot architectures, Jul 2017.
Performance comparison of 3D correspondence grouping algorithm for 3D plant point clouds 3d scans of plant shoot architectures, Jul 2017
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T05:38:47.478719Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 4bb580b4-54bc-49f0-8a8e-6789a4421882 · outbound
This paper cites Performance evaluation of 3d keypoint detectors.
Performance comparison of 3D correspondence grouping algorithm for 3D plant point clouds Performance evaluation of 3d keypoint detectors
Reference 26
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- raw_fallback, observed 2026-08-14T05:38:47.393900Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation a39bff18-9955-4b7a-b0dd-377664b7e69b · outbound
This paper cites A novel representation and feature matching algorithm for automatic pairwise registration of range images.International Journal of Computer Vision, 66(1):19– 40, 2006.
Performance comparison of 3D correspondence grouping algorithm for 3D plant point clouds A novel representation and feature matching algorithm for automatic pairwise registration of range images.International Journal of Computer Vision, 66(1):19– 40, 2006
Reference 27
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- raw_fallback, observed 2026-08-14T05:38:47.171345Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Pith citing papers
No inbound Pith citation observations are available.