Title
Grayscale image preprocessing for viewpoint-independent 3D extraction of objects
Abstract
The process by which images are prepared for complex vision systems is nontrivial. In this paper we describe the sequence of steps required to preprocess a grayscale picture for input to the Viewpoint Independent 3-D Extraction and Recognition of Objects (VITREO) system. VITREO is capable of accepting grayscale pictures for processing into line drawings for input to object recognition subsystems. These drawings are analyzed for edge and surface features to allow the extraction of component parts for subsequent recognition of the object containing them from stored component descriptions. This analysis demands that the line drawing extraction be robust and a combination of edge and line algorithms are employed. This process is described and examples of VITREO object extraction are shown.
Publication Date
12-1-1994
Publication Title
Proceedings of SPIE - The International Society for Optical Engineering
Volume
2298
Number of Pages
268-277
Document Type
Article
Identifier
scopus
Personal Identifier
scopus
Copyright Status
Unknown
Socpus ID
0028733233 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/0028733233
STARS Citation
Myler, Harley R.; Weeks, Arthur R.; and Yoo, Hoi J., "Grayscale image preprocessing for viewpoint-independent 3D extraction of objects" (1994). Scopus Export 1990s. 50.
https://stars.library.ucf.edu/scopus1990/50