Registration of 3D Point Sets Using Exponential-based Similarity Matrix | Paper Citation Record

Observation 7aaca42b-644e-4a62-a192-76f7407c2c08 · outbound

This paper cites Least-Squares Fitting of Two 3-D Point Sets,.

Registration of 3D Point Sets Using Exponential-based Similarity Matrix Least-Squares Fitting of Two 3-D Point Sets,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:32:42.360249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 67669d33-9360-4d1b-9c94-3df25a486f9f · outbound

This paper cites A Review of SLAM Techniques and Security in Autonomous Driving,.

Registration of 3D Point Sets Using Exponential-based Similarity Matrix A Review of SLAM Techniques and Security in Autonomous Driving,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:32:42.347640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8998de2d-494d-492f-9a7c-b7fad8078d04 · outbound

This paper cites A method for registration of 3-D shapes,.

Registration of 3D Point Sets Using Exponential-based Similarity Matrix A method for registration of 3-D shapes,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:32:42.334512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d072c158-cde1-422c-8599-f746f9d1aec2 · outbound

This paper cites ”Lidar-Monocular Visual Odometry with Genetic Al- gorithm for Parameter Optimization.

Registration of 3D Point Sets Using Exponential-based Similarity Matrix ”Lidar-Monocular Visual Odometry with Genetic Al- gorithm for Parameter Optimization

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:32:42.321310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 28899571-9335-4169-8990-455a32ffa9c5 · outbound

This paper cites MCC-EKF for Autonomous Car Security,.

Registration of 3D Point Sets Using Exponential-based Similarity Matrix MCC-EKF for Autonomous Car Security,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:32:42.308503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 194b297c-5013-457d-85bf-1f8fb585bff4 · outbound

This paper cites Reliable Security Algorithm for Drones Using Individual Characteristics From an EEG Signal,.

Registration of 3D Point Sets Using Exponential-based Similarity Matrix Reliable Security Algorithm for Drones Using Individual Characteristics From an EEG Signal,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:32:42.295742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4a906b39-c8be-420e-8be1-5330350d29f7 · outbound

This paper cites Securing a UA V Using Individual Characteristics From an EEG Signal,.

Registration of 3D Point Sets Using Exponential-based Similarity Matrix Securing a UA V Using Individual Characteristics From an EEG Signal,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:32:42.283155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 387c380a-67be-4bcf-b0e4-d0cb88d16160 · outbound

This paper cites Linear Least-Squares Optimization for Point-to-Plane ICP Surface Registration,.

Registration of 3D Point Sets Using Exponential-based Similarity Matrix Linear Least-Squares Optimization for Point-to-Plane ICP Surface Registration,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:32:42.270284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a3f2e954-4d38-4353-8f09-7671723c596d · outbound

This paper cites ”The Stanford 3D Scanning Repository.

Registration of 3D Point Sets Using Exponential-based Similarity Matrix ”The Stanford 3D Scanning Repository

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:32:42.257274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 78812cfd-ff92-44c1-b631-b0a7454430a5 · outbound

This paper cites Go-ICP: A globally optimal solution to 3D ICP point-set registration,.

Registration of 3D Point Sets Using Exponential-based Similarity Matrix Go-ICP: A globally optimal solution to 3D ICP point-set registration,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:32:42.244931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7a849f6c-4eb5-43b0-92c0-9172b759080e · outbound

This paper cites ”Correntropy based scale ICP algorithm for robust point set registration.

Registration of 3D Point Sets Using Exponential-based Similarity Matrix ”Correntropy based scale ICP algorithm for robust point set registration

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:32:42.232119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 31d7909b-b581-4ddf-bf1d-5ccc29f6a9e0 · outbound

This paper cites Robust 3D point cloud registration based on bidirectional Maximum Correntropy Criterion,.

Registration of 3D Point Sets Using Exponential-based Similarity Matrix Robust 3D point cloud registration based on bidirectional Maximum Correntropy Criterion,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:32:42.219222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 47306dba-ed37-49de-b620-ea30728c7b8a · outbound

This paper cites Precise point set registration using point-to-plane distance and correntropy for LiDAR based local- ization,.

Registration of 3D Point Sets Using Exponential-based Similarity Matrix Precise point set registration using point-to-plane distance and correntropy for LiDAR based local- ization,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:32:42.205986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 43500c40-edc4-4a86-b8b7-0a82bbda2432 · outbound

This paper cites Generalized-ICP,.

Registration of 3D Point Sets Using Exponential-based Similarity Matrix Generalized-ICP,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:32:42.193066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c362bf2a-7610-4a63-b872-f05f7ef699f2 · outbound

This paper cites The phase correlation image align- ment method,.

Registration of 3D Point Sets Using Exponential-based Similarity Matrix The phase correlation image align- ment method,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:32:42.180236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ee6f1008-4cfb-4d91-8b49-f618a707e7f9 · outbound

This paper cites Distinctive image features from scale-invariant key- points,.

Registration of 3D Point Sets Using Exponential-based Similarity Matrix Distinctive image features from scale-invariant key- points,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:32:42.167244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a90e655f-f186-47bf-b6e2-911841f378a8 · outbound

This paper cites Fast point feature histograms (FPFH) for 3D registration,.

Registration of 3D Point Sets Using Exponential-based Similarity Matrix Fast point feature histograms (FPFH) for 3D registration,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:32:42.154119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6b715a8d-e6d2-4905-be99-78a036322484 · outbound

This paper cites Fast global registration,.

Registration of 3D Point Sets Using Exponential-based Similarity Matrix Fast global registration,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:32:42.141357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3ef94c74-9627-4c06-8e01-96457bf2b693 · outbound

This paper cites Fast Point Feature Histograms (FPFH) for 3D registration,.

Registration of 3D Point Sets Using Exponential-based Similarity Matrix Fast Point Feature Histograms (FPFH) for 3D registration,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:32:42.115443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e89c8e5f-4a09-4f9b-ba92-e7c024272cf4 · outbound

This paper cites SURF: Speeded Up Robust Features,.

Registration of 3D Point Sets Using Exponential-based Similarity Matrix SURF: Speeded Up Robust Features,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:32:42.128733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7ee75302-376a-407a-8011-0fdc7f3489fa · outbound

This paper cites Effi- cient subpixel image registration algorithms,.

Registration of 3D Point Sets Using Exponential-based Similarity Matrix Effi- cient subpixel image registration algorithms,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:32:42.102639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 81702170-f13d-407b-9b05-22c148b44516 · outbound

This paper cites Image registration methods: a survey,.

Registration of 3D Point Sets Using Exponential-based Similarity Matrix Image registration methods: a survey,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:32:42.089453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6e8babcc-2236-46a5-aadf-9a6040fc3924 · outbound

This paper cites Position, rotation, and scale invariant optical correlation,.

Registration of 3D Point Sets Using Exponential-based Similarity Matrix Position, rotation, and scale invariant optical correlation,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:32:42.076746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b42c3bc6-e3b3-43aa-8b55-0ef7e028affa · outbound

This paper cites The normal distributions transform: a new approach to laser scan matching,.

Registration of 3D Point Sets Using Exponential-based Similarity Matrix The normal distributions transform: a new approach to laser scan matching,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:32:42.063795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 44bd3d25-2302-41df-9a68-a6168c57b18d · outbound

This paper cites Information-Theoretic Learning,.

Registration of 3D Point Sets Using Exponential-based Similarity Matrix Information-Theoretic Learning,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:32:42.050750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ec6cccb6-8cd9-4cb1-881d-be993cad2a05 · outbound

This paper cites Robust registration of 2D and 3D point sets,.

Registration of 3D Point Sets Using Exponential-based Similarity Matrix Robust registration of 2D and 3D point sets,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:32:42.037148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d2652efd-0988-461d-9540-b4bd6c7e641d · outbound

This paper cites ”Fast Global Registration.

Registration of 3D Point Sets Using Exponential-based Similarity Matrix ”Fast Global Registration

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:32:42.024580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d575d6f8-7af0-4a0e-8889-f075614c09aa · outbound

This paper cites Deep Global Regis- tration,.

Registration of 3D Point Sets Using Exponential-based Similarity Matrix Deep Global Regis- tration,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:32:42.011309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 12b0f68e-beeb-42b4-b3c7-735268ef5cc1 · outbound

This paper cites TEASER: Fast and Certifiable Point Cloud Registration.

Registration of 3D Point Sets Using Exponential-based Similarity Matrix TEASER: Fast and Certifiable Point Cloud Registration

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-15T23:32:41.436092Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 02a83111-d123-46c8-86c2-7f00518e2be6 · outbound

This paper cites RPM-Net: Robust Point Matching Using Learned Features,“.

Registration of 3D Point Sets Using Exponential-based Similarity Matrix RPM-Net: Robust Point Matching Using Learned Features,“

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:32:41.998134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6c8eb38e-da06-462f-90c2-107e07edf6a2 · outbound

This paper cites Object modeling by registration of mul- tiple range images,.

Registration of 3D Point Sets Using Exponential-based Similarity Matrix Object modeling by registration of mul- tiple range images,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:32:41.985596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9cbb87e0-ef63-49a7-816b-f7bfeca5931a · outbound

This paper cites Efficient variants of the ICP algorithm,.

Registration of 3D Point Sets Using Exponential-based Similarity Matrix Efficient variants of the ICP algorithm,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:32:41.973044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ffec3c48-41e8-4cac-af8b-720cc73ad22a · outbound

This paper cites Fast and Robust Iterative Closest Point.

Registration of 3D Point Sets Using Exponential-based Similarity Matrix Fast and Robust Iterative Closest Point

Reference 34

Resolution: verified exact; local_arxiv, observed 2026-08-15T23:32:41.629487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2fa5ca4a-9aaf-4a26-be2a-c6e8e17ec200 · outbound

This paper cites The iterative closest point registration algorithm based on the normal distribution transformation,.

Registration of 3D Point Sets Using Exponential-based Similarity Matrix The iterative closest point registration algorithm based on the normal distribution transformation,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:32:41.960675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b9bebd26-d8fc-450d-bdc6-090501f8e8c1 · outbound

This paper cites A review of point cloud regis- tration algorithms for laser scanners: Applications in large-scale aircraft measurement,.

Registration of 3D Point Sets Using Exponential-based Similarity Matrix A review of point cloud regis- tration algorithms for laser scanners: Applications in large-scale aircraft measurement,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:32:41.947244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3c0257e6-3a75-4811-8ebf-bbab429c628c · outbound

This paper cites 3D is here: Point Cloud Library (PCL),.

Registration of 3D Point Sets Using Exponential-based Similarity Matrix 3D is here: Point Cloud Library (PCL),

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:32:41.934076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 28a4dd5e-6567-4ed8-a28f-8cc8271029f0 · outbound

This paper cites Generalized-ICP,.

Registration of 3D Point Sets Using Exponential-based Similarity Matrix Generalized-ICP,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:32:41.921343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation fd8a50e5-d943-442b-91a9-c151264b02f8 · outbound

This paper cites Multi-scale EM-ICP: A fast and robust approach for surface registration,.

Registration of 3D Point Sets Using Exponential-based Similarity Matrix Multi-scale EM-ICP: A fast and robust approach for surface registration,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:32:41.908653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 48c474e7-90f9-4806-9171-59b7cb15ca6e · outbound

This paper cites Semantic-ICP: Iterative Closest Point for Non-rigid Multi-label Point Cloud Registra- tion,.

Registration of 3D Point Sets Using Exponential-based Similarity Matrix Semantic-ICP: Iterative Closest Point for Non-rigid Multi-label Point Cloud Registra- tion,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:32:41.895996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a4d05367-8e41-405a-b469-6035ee989d5c · outbound

This paper cites Robust affine registration method using line/surface normals and correspondence,.

Registration of 3D Point Sets Using Exponential-based Similarity Matrix Robust affine registration method using line/surface normals and correspondence,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:32:41.883172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6513d825-eb0b-4f93-a180-1bf1f7d6726f · outbound

This paper cites KSS-ICP: Point Cloud Registration based on Kendall Shape Space,.

Registration of 3D Point Sets Using Exponential-based Similarity Matrix KSS-ICP: Point Cloud Registration based on Kendall Shape Space,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:32:41.870715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d8028a0d-edb4-4931-94ed-265412306af1 · outbound

This paper cites DICP: Doppler Iterative Closest Point Algo- rithm,.

Registration of 3D Point Sets Using Exponential-based Similarity Matrix DICP: Doppler Iterative Closest Point Algo- rithm,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:32:41.857968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 46e57015-57e4-4d72-9f79-9b00588b8657 · outbound

This paper cites Deep Learning-Based Point Cloud Registration: A Comprehensive Survey and Taxonomy.

Registration of 3D Point Sets Using Exponential-based Similarity Matrix Deep Learning-Based Point Cloud Registration: A Comprehensive Survey and Taxonomy

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-15T23:32:41.497140Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6bb8d1ca-d460-4d15-9fd8-c66578a741da · outbound

This paper cites RPM-Net: Robust point matching using learned features,.

Registration of 3D Point Sets Using Exponential-based Similarity Matrix RPM-Net: Robust point matching using learned features,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:32:41.845117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 029d2c38-821a-43b4-b465-ffd3b8650863 · outbound

This paper cites Deep Closest Point: Learning rep- resentations for point cloud registration,.

Registration of 3D Point Sets Using Exponential-based Similarity Matrix Deep Closest Point: Learning rep- resentations for point cloud registration,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:32:41.832398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 92bbb7a2-3d15-4b44-8946-200edc1ffb1c · outbound

This paper cites PointNet++: Deep hierarchical feature learning on point sets in a metric space,.

Registration of 3D Point Sets Using Exponential-based Similarity Matrix PointNet++: Deep hierarchical feature learning on point sets in a metric space,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:32:41.819432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e1da95ee-f28b-4cc8-a780-91048d4f083f · outbound

This paper cites PointNet: Deep learning on point sets for 3D classification and segmentation,.

Registration of 3D Point Sets Using Exponential-based Similarity Matrix PointNet: Deep learning on point sets for 3D classification and segmentation,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:32:41.806479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e8053a06-e22b-4613-8b7e-bc8409a696ec · outbound

This paper cites Dynamic Graph CNN for Learning on Point Clouds,.

Registration of 3D Point Sets Using Exponential-based Similarity Matrix Dynamic Graph CNN for Learning on Point Clouds,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:32:41.793423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 805b75ec-b648-4950-ac27-1348b601a249 · outbound

This paper cites PointNetLK: Robust and efficient point cloud registration using Point- Net,.

Registration of 3D Point Sets Using Exponential-based Similarity Matrix PointNetLK: Robust and efficient point cloud registration using Point- Net,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:32:41.780397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2f7f56d2-6633-4a43-93e6-f7e79fcb1d8b · outbound

This paper cites The normal distributions transform: A new approach to laser scan matching,.

Registration of 3D Point Sets Using Exponential-based Similarity Matrix The normal distributions transform: A new approach to laser scan matching,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:32:41.767404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ab97295a-df28-4872-ac2d-6a3a2456073c · outbound

This paper cites PRNet: Self-supervised learning for partial-to-partial registration,.

Registration of 3D Point Sets Using Exponential-based Similarity Matrix PRNet: Self-supervised learning for partial-to-partial registration,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:32:41.754398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a7fc17ca-9980-4611-8457-ecb4e2197554 · outbound

This paper cites A comprehensive survey on point cloud registration.

Registration of 3D Point Sets Using Exponential-based Similarity Matrix A comprehensive survey on point cloud registration

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-15T23:32:41.532968Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e70983fe-91ac-4764-9322-dbd7d4f9f0c6 · outbound

This paper cites A robust algorithm for point set registration using mixture of Gaussians,.

Registration of 3D Point Sets Using Exponential-based Similarity Matrix A robust algorithm for point set registration using mixture of Gaussians,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:32:41.740701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8ebfe9e2-031f-42fb-9d13-5c943b54ece6 · outbound

This paper cites DeepGMR: Learning Latent Gaussian Mixture Models for Registration,.

Registration of 3D Point Sets Using Exponential-based Similarity Matrix DeepGMR: Learning Latent Gaussian Mixture Models for Registration,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:32:41.727086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c6f7f639-2eb1-4841-ba43-22f5c0107353 · outbound

This paper cites 3D ShapeNets: A deep representation for volumetric shapes,.

Registration of 3D Point Sets Using Exponential-based Similarity Matrix 3D ShapeNets: A deep representation for volumetric shapes,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:32:41.712300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c2c84e46-ea7a-44b7-8019-a1c44577538b · outbound

This paper cites Correntropy Based Scale ICP Algorithm for Robust Point Set Registration,.

Registration of 3D Point Sets Using Exponential-based Similarity Matrix Correntropy Based Scale ICP Algorithm for Robust Point Set Registration,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:32:41.698568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b2d70a42-beed-4ade-bebd-336d210bea54 · outbound

This paper cites Robust 3D point cloud registration based on bidirectional Maximum Correntropy Criterion,.

Registration of 3D Point Sets Using Exponential-based Similarity Matrix Robust 3D point cloud registration based on bidirectional Maximum Correntropy Criterion,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:32:41.685451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation df12e501-8c03-4236-829a-83eb852c549d · outbound

This paper cites Precise Point Set Registration Using Point-to-Plane Distance and Correntropy for LiDAR Based Localization,.

Registration of 3D Point Sets Using Exponential-based Similarity Matrix Precise Point Set Registration Using Point-to-Plane Distance and Correntropy for LiDAR Based Localization,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:32:41.671757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1ce27a74-3e3b-4273-8206-32a2d3298e7e · outbound

This paper cites KISS-Matcher: Fast and Robust Point Cloud Registration Revisited,.

Registration of 3D Point Sets Using Exponential-based Similarity Matrix KISS-Matcher: Fast and Robust Point Cloud Registration Revisited,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:32:41.658207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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