3DTDesc: learning local features using 2D and 3D cues
- 3 March 2021
- journal article
- research article
- Published by Springer Science and Business Media LLC in Machine Vision and Applications
- Vol. 32 (3), 1-15
- https://doi.org/10.1007/s00138-021-01176-8
Abstract
No abstract availableKeywords
Funding Information
- National Natural Science Foundation of China (#U1913201)
This publication has 28 references indexed in Scilit:
- Fine registration of 3D point clouds fusing structural and photometric information using an RGB-D cameraJournal of Visual Communication and Image Representation, 2015
- SHOT: Unique signatures of histograms for surface and texture descriptionComputer Vision and Image Understanding, 2014
- Scalable Nearest Neighbor Algorithms for High Dimensional DataIEEE Transactions on Pattern Analysis and Machine Intelligence, 2014
- SUN3D: A Database of Big Spaces Reconstructed Using SfM and Object LabelsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2013
- Scene Coordinate Regression Forests for Camera Relocalization in RGB-D ImagesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2013
- SURF: Speeded Up Robust FeaturesLecture Notes in Computer Science, 2006
- Distinctive Image Features from Scale-Invariant KeypointsInternational Journal of Computer Vision, 2004
- Recognizing Objects in Range Data Using Regional Point DescriptorsLecture Notes in Computer Science, 2004
- Using spin images for efficient object recognition in cluttered 3D scenesIEEE Transactions on Pattern Analysis and Machine Intelligence, 1999
- SIGNATURE VERIFICATION USING A “SIAMESE” TIME DELAY NEURAL NETWORKSeries in Machine Perception and Artificial Intelligence, 1994