Accurate integration of multi-view range images using k-means clustering
3D modelling finds a wide range of applications in industry. However, due to the presence of
surface scanning noise, accumulative registration errors, and improper data fusion …
surface scanning noise, accumulative registration errors, and improper data fusion …
An autonomous six-DOF eye-in-hand system for in situ 3D object modeling
L Torabi, K Gupta - The International Journal of Robotics …, 2012 - journals.sagepub.com
We present an integrated and fully autonomous eye-in-hand system for 3D object modeling.
The system hardware consists of a laser range scanner mounted on a six-DOF manipulator …
The system hardware consists of a laser range scanner mounted on a six-DOF manipulator …
Integrated view and path planning for an autonomous six-dof eye-in-hand object modeling system
L Torabi, K Gupta - 2010 IEEE/RSJ International Conference on …, 2010 - ieeexplore.ieee.org
We present an integrated and fully autonomous eye-in-hand system for 3D object modeling.
The system hardware consists of a laser range sensor mounted on a six-DOF manipulator …
The system hardware consists of a laser range sensor mounted on a six-DOF manipulator …
A clustering approach to free form surface reconstruction from multi-view range images
3D modelling finds a wide range of applications in robot vision and reverse engineering.
However due to the presence of surface scanning noise, accumulative registration errors …
However due to the presence of surface scanning noise, accumulative registration errors …
Integrated view and path planning for a fully autonomous mobile-manipulator system for 3D object modeling
L Torabi - 2011 - summit.sfu.ca
We have designed and implemented a fully autonomous system for building a 3D model of
an object in situ. Our system assumes no knowledge of object other than that it is within a …
an object in situ. Our system assumes no knowledge of object other than that it is within a …
Principal component and Voronoi skeleton alternatives for curve reconstruction from noisy point sets
Surface reconstruction from noisy point samples must take into consideration the stochastic
nature of the sample. In other words, geometric algorithms reconstructing the surface or …
nature of the sample. In other words, geometric algorithms reconstructing the surface or …
[图书][B] Hierarchical object localization for robotic bin picking
KE Böhnke - 2009 - dspace.upt.ro
Computer Vision is the scientific discipline of obtaining information from two-or three-
dimensional images with the help of computers, theories and algorithms. It includes fields of …
dimensional images with the help of computers, theories and algorithms. It includes fields of …
Reliability-weighted fusion of multiview photogrammetric point clouds for 3D terrain reconstruction of the lunar surface
Benefitting from advances in photogrammetry and computer vision, 3D point clouds
generated from dense image matching have been proved to be an accurate, reliable, and …
generated from dense image matching have been proved to be an accurate, reliable, and …
[PDF][PDF] A mesh-based approach to incremental range image integration
D Joubert, W Brink - … of the 22nd Annual Symposium of the …, 2011 - appliedmaths.sun.ac.za
We consider the problem of integrating a sequence of range images, taken of a static scene
from different viewpoints, in order to form a consistent surface reconstruction that preserves …
from different viewpoints, in order to form a consistent surface reconstruction that preserves …
3D Modelling from Multi-view Registered Range Images Using K-means Clustering
3D modelling from range images captured using laser scanning systems finds a wide range
of applications in computer vision and industrial robotics. However due to the presence of …
of applications in computer vision and industrial robotics. However due to the presence of …