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Zheng Guo's Projects

keypoint-learning icon keypoint-learning

Code for "Learning a Descriptor-Specific 3D Keypoint Detector" and "Learning to detect good 3d keypoints" -ICCV 2015, IJCV 2018

kinect_smoothing icon kinect_smoothing

"Kinect Smoothing" helps you to smooth and filter the Kinect depth image as well as trajectory data

meshcnn icon meshcnn

Convolutional Neural Network for 3D meshes in PyTorch

metagol icon metagol

Metagol - an inductive logic programming system

mrf_segmentation icon mrf_segmentation

Image segmentation based on markov random fields and graph cut algorithm.

mx-deepim icon mx-deepim

Deep Iterative Matching for 6D Pose Estimation

omg_depth_fusion icon omg_depth_fusion

Probabilistic depth fusion based on Optimal Mixture of Gaussians for depth cameras

peac icon peac

Fast Plane Extraction Using Agglomerative Hierarchical Clustering (AHC)

peac-1 icon peac-1

PEAC(Plane Extraction using Agglomerative Clustering) is a fast plane segmentation algorithm for organized point cloud. This is a fork of peac (http://www.merl.com/research/license)

ppfmap icon ppfmap

Point Pair Features are used for rigid object detection in point clouds

q-pso icon q-pso

Fast Feature-Less Quaternion-based Particle Swarm Optimization for Object Pose Estimation From RGB-D Images

robond-perception-intro icon robond-perception-intro

Object Segmentation on 3D Point Cloud Data Using Python-PCL, DBSCAN, K-Means, Histograms, RANSAC, and SVM

ros icon ros

机器人操作系统ROS 语音视觉控制 雷达建图导航

sac-ia icon sac-ia

Using PCL (Point Cloud Library) to Registration Point Cloud By SAC-IA, Initial Alignment

segpose icon segpose

Segmentation-driven 6D Object Pose Estimation

sixd_toolkit icon sixd_toolkit

Python scripts to facilitate participation in the SIXD Challenge.

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