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KinectFusion: Real-time dense surface mapping and tracking

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Point Set Registration: Coherent Point Drift

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A solution to the simultaneous localization and map building (SLAM) problem

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Model based training, detection and pose estimation of texture-less 3D objects in heavily cluttered scenes

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Towards 3D Point cloud based object maps for household environments

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Estimating 3-D rigid body transformations: a comparison of four major algorithms

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Simultaneous Localization, Mapping and Moving Object Tracking

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Implicit 3D Orientation Learning for 6D Object Detection from RGB Images

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Least squares 3D surface and curve matching

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Generalized multidimensional scaling: A framework for isometry-invariant partial surface matching

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Multi-scale EM-ICP: A Fast and Robust Approach for Surface Registration

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A Correlation-Based Approach to Robust Point Set Registration

Tsin, Y., & Kanade, T. (2004) · Lecture Notes in Computer Science · doi:10.1007/978-3-540-24672-5_44 · Cited by 416

An algorithmic overview of surface registration techniques for medical imaging

Audette, M. A., Ferrie, F. P., & Peters, T. M. (2000) · Medical Image Analysis · doi:10.1016/s1361-8415(00)00014-1 · Cited by 406

The dual-bootstrap iterative closest point algorithm with application to retinal image registration

Stewart, C. V., Tsai, C.-L., & Roysam, B. (2003) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2003.819276 · Cited by 346

Matching 2.5D face scans to 3D models

Lu, X., Jain, A. K., & Colbry, D. (2006) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2006.15 · Cited by 339

Biometric Recognition Using 3D Ear Shape

Yan, P., & Bowyer, K. W. (2007) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2007.1067 · Cited by 294

Latent-Class Hough Forests for 3D Object Detection and Pose Estimation

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A review of deformable surfaces: topology, geometry and deformation

Montagnat, J., Delingette, H., & Ayache, N. (2001) · Image and Vision Computing · doi:10.1016/s0262-8856(01)00064-6 · Cited by 274

Human Ear Recognition in 3D

Chen, H., & Bhanu, B. (2007) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2007.1005 · Cited by 240

LightGuide: projected visualizations for hand movement guidance

Sodhi, R., Benko, H., & Wilson, A. (2012) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems · doi:10.1145/2207676.2207702 · Cited by 144

A Comparison of Four Algorithms for Estimating 3-D Rigid Transformations.

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3-D Face Detection, Landmark Localization, and Registration Using a Point Distribution Model

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A multi-resolution ICP with heuristic closest point search for fast and robust 3D registration of range images

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Deformable 2D-3D Registration of Vascular Structures in a One View Scenario

Groher, M., Zikic, D., & Navab, N. (2009) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2008.2011519 · Cited by 91

Three‐dimensional analysis of mandibular growth and tooth eruption

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Robust and efficient linear registration of white-matter fascicles in the space of streamlines

Garyfallidis, E., Ocegueda, O., Wassermann, D., & Descoteaux, M. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.05.016 · Cited by 84

A new method for the registration of three-dimensional point-sets: The Gaussian Fields framework

Boughorbel, F., Mercimek, M., Koschan, A., & Abidi, M. (2010) · Image and Vision Computing · doi:10.1016/j.imavis.2009.05.003 · Cited by 31

Differential evolution solution to the SLAM problem

Moreno, L., Garrido, S., Blanco, D., & Muñoz, M. L. (2009) · Robotics and Autonomous Systems · doi:10.1016/j.robot.2008.05.005 · Cited by 29

Incremental and Enhanced Scanline-Based Segmentation Method for Surface Reconstruction of Sparse LiDAR Data

Wang, W., Sakurada, K., & Kawaguchi, N. (2016) · Remote Sensing · doi:10.3390/rs8110967 · Cited by 16

Constraints for closest point finding

Liu, Y. (2008) · Pattern Recognition Letters · doi:10.1016/j.patrec.2007.12.004 · Cited by 15

Autonomous Planetary Rover Navigation via Active SLAM

Li, G., Geng, Y., & Zhang, W. (2018) · Aircraft Engineering and Aerospace Technology · doi:10.1108/aeat-12-2016-0239 · Cited by 11

MimicGen: A Data Generation System for Scalable Robot Learning using Human Demonstrations

Mandlekar, A., Nasiriany, S., Wen, B., Akinola, I., Narang, Y., Fan, L., Zhu, Y., & Fox, D. (2023) · arXiv · doi:10.48550/arxiv.2310.17596 · Cited by 226