Parallel RANSAC for Point Cloud Registration

نویسندگان

چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Efficient RANSAC for Point-Cloud Shape Detection

In this work we present an automatic algorithm to detect basic shapes in unorganized point clouds. The algorithm decomposes the point cloud into a concise, hybrid structure of inherent shapes and a set of remaining points. Each detected shape serves as a proxy for a set of corresponding points. Our method is based on random sampling and detects planes, spheres, cylinders, cones and tori. For mo...

متن کامل

Cloud To Cloud Registration For 3d Point Data

Grant, Darion Shawn. Ph.D., Purdue University, December 2013. Cloud To Cloud Registration For 3D Point Data. Major Professors: James Bethel and Melba Crawford. The vast potential of digital representation of objects by large collections of 3D points is being recognized on a global scale and has given rise to the popularity of point cloud data (PCD). 3D imaging sensors provide a means for quickl...

متن کامل

Colored Point Cloud Registration Revisited Supplementary Material

As in Section 4.3, this objective is minimized using the Gauss-Newton method. Specifically, we start from an initial transformation T and perform optimization iteratively. In each iteration, we locally parameterize T with a 6-vector ξ, evaluate the residual r and Jacobian Jr at T, solve the linear system in (21) to compute ξ, and use ξ to update T. To compute the Jacobian, we need the partial d...

متن کامل

Hierarchical Registration Method for Airborne and Vehicle LiDAR Point Cloud

A new hierarchical method for the automatic registration of airborne and vehicle light detection and ranging (LiDAR) data is proposed, using three-dimensional (3D) road networks and 3D building contours. Firstly, 3D road networks are extracted from airborne LiDAR data and then registered with vehicle trajectory lines. During the registration of airborne road networks and vehicle trajectory line...

متن کامل

Guaranteed Outlier Removal for Point Cloud Registration with Correspondences

An established approach for 3D point cloud registration is to estimate the registration function from 3D keypoint correspondences. Typically, a robust technique is required to conduct the estimation, since there are false correspondences or outliers. Current 3D keypoint techniques are much less accurate than their 2D counterparts, thus they tend to produce extremely high outlier rates. A large ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Foundations of Computing and Decision Sciences

سال: 2017

ISSN: 2300-3405

DOI: 10.1515/fcds-2017-0010