Li, X.
, Wagan, A.
and Godil, A.
(2008),
Identifying Objects in Range Data Based on Similarity Transformation Invariant Shape Signatures, Performance Metrics for Intelligent Systems Workshop Proceedings (PerMIS), Gaithersburg, MD, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=890022
(Accessed October 13, 2025)
Official websites use .gov
A .gov website belongs to an official government organization in the United States.
Secure .gov websites use HTTPS
A lock (
) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.
Identifying Objects in Range Data Based on Similarity Transformation Invariant Shape Signatures
Published
Author(s)
, ,
Abstract
Identification and recognition of three dimensional (3D) objects in range data is a challenging problem. We propose a novel method to fulfill the task through two steps: 1) construct the feature signatures for the objects in the scene and the models in a 3D database; 2) based on the feature signature, find out the most similar model which decides the class of the corresponding object in the scene. We also evaluate the accuracy, robustness of the recognition method with several configurations. Our experimental results validate the effectiveness of our method.Conference Dates
August 19-21, 2008
Conference Location
Gaithersburg, MD
Conference Title
Performance Metrics for Intelligent Systems Workshop Proceedings (PerMIS)
Pub Type
Conferences
Download Paper
Keywords
accuracy evaluation, object recognition
Citation
Issues
If you have any questions about this publication or are having problems accessing it, please contact [email protected].
Created August 19, 2008, Updated February 19, 2017