Paper Info
Title
Shape Recovery of Specular Surface Using Color Highlight Stripe and Light Source Coding
Abstract
Shape recovery of specular surface is a challenging task; camera images of these surfaces are difficult to interpret because they are often characterized by highlights. Structured Highlight approach is a classic and effective way for specular inspection, this paper suggests a new strategy to recover dense normals of a specular surface and reconstruct its shape by combining the ideas of Structured Highlight, color source coding, highlight stripe and its translations. Point sources with different colors are positioned on orbits to illuminate a specular object surface. These point sources are scanned, and highlights on the object surface resulting from each point source are used to derive local surface orientation. Dense normal information can be recovered by translating these orbits. Some experimental system configurations are given. The simulation results show that the new method is feasible and can be used to reconstruct shape of specular surface in a high precision.
Year
DOI
Venue
2009
10.1007/978-3-642-01811-4_2
MIRAGE
Keywords
Field
DocType
specular surface,specular object surface,shape recovery,object surface,point source,structured highlight,color highlight stripe,color source coding,light source coding,specular inspection,local surface orientation,structured highlight approach,source code
Specular highlight,Computer vision,Experimental system,Source code,Computer science,Specular reflection,Point source,Coding (social sciences),Artificial intelligence,Light source
Conference
Volume
ISSN
Citations 
5496
0302-9743
0
PageRank 
References 
Authors
0.34
17
4
Name
Order
Citations
PageRank
Yankui Sun13312.88
Chengkun Xue211.37
Masatoshi Kimachi372.59
Masaki Suwa4599.06