Min Lu

Affiliations:
  • Hunan Institute of Science and Technology, Yueyang, Hunan, China
  • National University of Defense Technology, Changsha, Hunan, China (former)


According to our database1, Min Lu authored at least 22 papers between 2013 and 2018.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2018
3DMAX-Net: A Multi-Scale Spatial Contextual Network for 3D Point Cloud Semantic Segmentation.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

2017
Efficient rotation estimation for 3D registration and global localization in structured point clouds.
Image Vis. Comput., 2017

Integrating Color and Depth Cues for Static Hand Gesture Recognition.
Proceedings of the Computer Vision - Second CCF Chinese Conference, 2017

2016
Accelerated Coherent Point Drift for Automatic Three-Dimensional Point Cloud Registration.
IEEE Geosci. Remote. Sens. Lett., 2016

A Comprehensive Performance Evaluation of 3D Local Feature Descriptors.
Int. J. Comput. Vis., 2016

Global localization in 3D maps for structured environment.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

BAG: A Binary Descriptor for RGB-D Images Combining Appearance and Geometric Cues.
Proceedings of the Cognitive Systems and Signal Processing, 2016

Fast and Accurate Registration of Structured Point Clouds with Small Overlaps.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016

2015
An Integrated Framework for 3-D Modeling, Object Detection, and Pose Estimation From Point-Clouds.
IEEE Trans. Instrum. Meas., 2015

A novel local surface feature for 3D object recognition under clutter and occlusion.
Inf. Sci., 2015

Ground target detection in LiDAR point clouds using AdaBoost.
Proceedings of the 2015 International Conference on Control, 2015

2014
An Accurate and Robust Range Image Registration Algorithm for 3D Object Modeling.
IEEE Trans. Multim., 2014

Recognizing Objects in 3D Point Clouds with Multi-Scale Local Features.
Sensors, 2014

3D Object Recognition in Cluttered Scenes with Local Surface Features: A Survey.
IEEE Trans. Pattern Anal. Mach. Intell., 2014

Detecting floods accurately in SAR images without the interference of the reference image.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014

Automatic markerless registration of mobile LiDAR point-clouds.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014

Efficient Registration of Multiple Range Images for Fully Automatic 3D Modeling.
Proceedings of the GRAPP 2014, 2014

A 3D pointcloud registration algorithm based on fast coherent point drift.
Proceedings of the 2014 IEEE Applied Imagery Pattern Recognition Workshop, 2014

Performance Evaluation of 3D Local Feature Descriptors.
Proceedings of the Computer Vision - ACCV 2014, 2014

2013
Rotational Projection Statistics for 3D Local Surface Description and Object Recognition.
Int. J. Comput. Vis., 2013

3D free form object recognition using rotational projection statistics.
Proceedings of the 2013 IEEE Workshop on Applications of Computer Vision, 2013

TriSI: A Distinctive Local Surface Descriptor for 3D Modeling and Object Recognition.
Proceedings of the GRAPP & IVAPP 2013: Proceedings of the International Conference on Computer Graphics Theory and Applications and International Conference on Information Visualization Theory and Applications, 2013


  Loading...