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CVPR
2006
IEEE
16 years 1 months ago
Fully Automatic Registration of 3D Point Clouds
We propose a novel technique for the registration of 3D point clouds which makes very few assumptions: we avoid any manual rough alignment or the use of landmarks, displacement ca...
Ameesh Makadia, Alexander Patterson, Kostas Daniil...
ICCCN
2008
IEEE
15 years 6 months ago
Fingerprint-Based Location Estimation with Virtual Access Points
— Location fingerprinting techniques generally make use of existing wireless network infrastructure. Consequently, the positions of the access points (APs), which constitute an ...
A. K. M. Mahtab Hossain, Hien Nguyen Van, Wee-Seng...
GIS
2009
ACM
15 years 3 months ago
Next generation map making: geo-referenced ground-level LIDAR point clouds for automatic retro-reflective road feature extractio
This paper presents a novel method to process large scale, ground level Light Detection and Ranging (LIDAR) data to automatically detect geo-referenced navigation attributes (traf...
Xin Chen, Brad Kohlmeyer, Matei Stroila, Narayanan...
WSCG
2004
143views more  WSCG 2004»
15 years 1 months ago
View Dependent Stochastic Sampling for Efficient Rendering of Point Sampled Surfaces
In this paper we present a new technique for rendering very large datasets representing point-sampled surfaces. Rendering efficiency is considerably improved by using stochastic s...
Sushil Bhakar, Liang Luo, Sudhir P. Mudur
BMVC
2010
14 years 10 months ago
Unifying Planar and Point Mapping in Monocular SLAM
Mapping planar structure in vision-based SLAM can increase robustness and significantly improve efficiency of map representation. However, previous systems have implemented planar...
José Martínez-Carranza, Andrew Calwa...