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3d-semantic-segmentation

This work is based on our paper Exploring Spatial Context for 3D Semantic Segmentation of Point Clouds, which is appeared at the IEEE International Conference on Computer Vision (ICCV) 2017, 3DRMS Workshop.

3dpointcloud-iterativeclosestpoint

Iterative Closest Point Algorithm is one of the best algorithm to register 3D Point Clouds. This code is about registration/alignment of point cloud data collected for an object from different camera positions.

3y

:notebook:从Java基础、JavaWeb基础到常用的框架再到面试题都有完整的教程，几乎涵盖了Java后端必备的知识点

apc-vision-toolbox

MIT-Princeton Vision Toolbox for the Amazon Picking Challenge 2016 - RGB-D ConvNet-based object segmentation and 6D object pose estimation.

gitskills

iros_bshot

B-SHOT : A Binary Feature Descriptor for Fast and Efficient Keypoint Matching on 3D Point Clouds

learngit

models

Models and examples built with TensorFlow

opencvdevelop

Qt+opencv制作的类似halcon的软件

pcl-edge-detection

Edge-detection application with PointCloud Library

qvision

强大的视觉处理软件

registration

Generate Point Cloud by Realsense and Register by PCL library

sharp7-example

ubuntu-git