This is your work, valued
developing artificial 3D perception systems
cudaPcl. depth image processing using CUDA
108rtmf. Real-time Manhattan World Rotation Estimation in 3D
39dpOptTrans. Optimal Point Cloud Alignment
33dpMMlowVar. Bayesian nonparametric small-variance asymptotic clustering algorithms
20ptamRosBinaryFeatureRelocalization. PTAM with ROS Integration and Binary Feature Relocalization
15dpMM. Dirichlet Process Mixture Model sampling-based inference algorithms
14bnp. C++ code and Python wrappers for Inference on Bayesian Non-Parametric Models
12mmf. C++
10rtDDPvMF. real-time directional segmentation from Kinect RGB-D stream using DDP-vMF-means
7vim-gtd. getting things done with vim
5gpx-tools. Some Python scripts to deal with (Garmin) GPX files
4nutritional. scripts to work with the USDA food database
3rosCudaPcl. ROS nodes for cudaPcl
2jsCore. core algorithms and data structures
2bbTrans. C++
2tdp. Three Dimensional Perception (tdp) library
2darknet. Convolutional Neural Networks
1DeepSDF. Learning Continuous Signed Distance Functions for Shape Representation
1microcontroller. Code for Microcontroller Projects
1easyRobo. grid robot implementation with Smoothing and Mapping and Gridmapping
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