Paper Info
Title
Analyzing DGI-BS: properties and performance under occlusion and noise
Abstract
This paper analyzes a new 3D recognition method for occluded objects in complex scenes. The technique uses the Depth Gradient Image Based on Silhouette representation (DGI-BS) and settles the problem of identification-pose under occlusion and noise requirements. DGI-BS synthesizes both surface and contour information avoiding restrictions concerning the layout and visibility of the objects in the scene. Firstly, the paper is devoted to show the main properties of this method compared with a set of known techniques as well as to explain briefly the key concepts of the DGI-BS representation. Secondly, the performance of this strategy in real scenes under occlusion and noise circumstances is presented in detail.
Year
DOI
Venue
2007
10.1007/978-3-540-74607-2_6
ACIVS
Keywords
Field
DocType
key concept,noise requirement,silhouette representation,known technique,analyzing dgi-bs,complex scene,recognition method,noise circumstance,dgi-bs representation,depth gradient image,contour information
Computer vision,Visibility,Occlusion,Pattern recognition,Silhouette,Computer science,Image based,Artificial intelligence
Conference
Volume
ISSN
ISBN
4678
0302-9743
3-540-74606-4
Citations 
PageRank 
References 
0
0.34
21
Authors
2
Name
Order
Citations
PageRank
Pilar Merchán16311.05
Antonio Adán212422.27