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3DLines-SLAM: A Monocular Vision Semi-Dense 3D Reconstruction Based on ORB-SLAM Abstract-Producing high-quality 3D maps and calculating more accurate camera pose has always been the goal of SLAM technology. The requirements of SLAM technology such as real-time, low computational cost, and low hardware cost are contradictory to the above objectives. For the issues listed above, we propose a novel semi-dense reconstruction algorithm based on the monocular ORB-SLAM system by matching the line segment features extracted from keyframes. Specifically, we build upon ORB-SLAM, the system first provides a set of keyframes and their corresponding camera poses and a series of map points in real-time. Then we use our developed a keyframe re-culling algorithm to culling redundant keyframes. Then an improved line segment extraction method is used to extract line segments in each keyframe. Finally, we use purely geometric constraints to generates accurate 3D scene model by matching 2D line segments from different keyframes. We thoroughly evaluate and in-depth analysis of our approach, the results show our system runs steadily and reliably. Not only the whole system has strong robustness, but also it can quickly generate an accurate 3d model online with low computational costs.
Efficient monocular visual odometry for ground vehicles on ARM processors
Using binocular rig to detect and reconstruct lines and recover camera motion from Bundle Adjustment using Lines plucker coordinates.
This is my repository for storing Birdview VO
C++ implementation of semi-automatic camera calibration based on Perspective-n-Point (PnP)
Certifiably globally optimal extrinsic calibration for sensors providing egomotion estimates.
This library contains an AVX optimized implementation of the efficient second order minimization and inverse compositional image alignment methods, including two methods for outlier rejection.
Automatically exported from code.google.com/p/cv2cg
Automatically exported from code.google.com/p/cv2cg
Automatically exported from code.google.com/p/cv2cg
Matlab implementation of real-time dense visual odometry from RGB-D cameras
a visual SLAM system performed on RGB-D images
DSDTM is a semi-direct RGB-D visual odometry for dynamic environment.
Public code for "Data-Efficient Decentralized Visual SLAM"
Direct Sparse Odometry
Dual Quaternion and Dual Quaternion Skinning tutorial
Basic implementation of dual quaternion blend skinning.
dual quaternions libraries
Dual Quaternion conversions from/to ROS messages
Class template for dual complex numbers.
C++ Library for Dual Complex Numbers
out of the box quaternions for c++
Dense Visual Odometry
An easy, interface friendly cross-platform client to generate bird's view images using inverse perspective mapping methods proposed in paper "Adaptive Inverse Perspective Mapping for Lane Map Generation with SLAM"
Visual odometry from homography labs
distance transform based image edge alignment
Edge-Direct Visual Odometry
A parallel implementation of EDLine algorithm.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.