Amanote Research
Register
Sign In
Object Extraction in Urban Environments From Large-Scale Dynamic Point Cloud Datasets
doi 10.1109/cbmi.2013.6576580
Full Text
Open PDF
Abstract
Available in
full text
Date
June 1, 2013
Authors
Attila Borcs
Oszkar Jozsa
Csaba Benedek
Publisher
IEEE
Related search
Building Large Urban Environments From Unstructured Point Data
Automatic Object Segmentation From Large Scale 3D Urban Point Clouds Through Manifold Embedded Mode Seeking
Fine Scale Image Registration in Large-Scale Urban LIDAR Point Sets
Computer Vision and Image Understanding
Signal Processing
Computer Vision
Pattern Recognition
Software
Learning Detectors From Large Datasets for Object Retrieval in Video Surveillance
From Large Scale to Cloud Computing
Selection of Large-Scale 3D Point Cloud Data Using Gesture Recognition
IFIP Advances in Information and Communication Technology
Computer Networks
Information Systems
Management
Communications
Large Datasets: Segmentation, Feature Extraction, and Compression
Dense Point Cloud Extraction From UAV Captured Images in Forest Area
Cloud Point Extraction of Pesticide Residues
