Sciweavers

591 search results - page 19 / 119
» Computing fundamental groups from point clouds
Sort
View
ACCV
2010
Springer
14 years 5 months ago
Continuous Surface-Point Distributions for 3D Object Pose Estimation and Recognition
We present a 3D, probabilistic object-surface model, along with mechanisms for probabilistically integrating unregistered 2.5D views into the model, and for segmenting model instan...
Renaud Detry, Justus H. Piater
SDM
2008
SIAM
97views Data Mining» more  SDM 2008»
15 years 5 days ago
Efficient Distribution Mining and Classification
We define and solve the problem of "distribution classification", and, in general, "distribution mining". Given n distributions (i.e., clouds) of multi-dimensi...
Yasushi Sakurai, Rosalynn Chong, Lei Li, Christos ...
SIGGRAPH
2010
ACM
15 years 3 months ago
SmartBoxes for interactive urban reconstruction
We introduce an interactive tool which enables a user to quickly assemble an architectural model directly over a 3D point cloud acquired from large-scale scanning of an urban scen...
Liangliang Nan, Andrei Sharf, Hao Zhang, Daniel Co...
IROS
2008
IEEE
243views Robotics» more  IROS 2008»
15 years 5 months ago
Fast plane detection and polygonalization in noisy 3D range images
— A very fast but nevertheless accurate approach for surface extraction from noisy 3D point clouds is presented. It consists of two parts, namely a plane fitting and a polygonal...
Jann Poppinga, Narunas Vaskevicius, Andreas Birk 0...
ICCV
1995
IEEE
15 years 2 months ago
In Defence of the 8-Point Algorithm
The fundamental matrix is a basic tool in the analysis of scenes taken with two uncalibrated cameras, and the 8-point algorithm is a frequently cited method for computing the fund...
Richard I. Hartley