Title
From shape from shading to object recognition
Keywords
Integration of modules; Object recognition; Shape from shading
Abstract
Recognition of objects is one of the main goals of computer vision. Several approaches have been proposed to solve this problem using 3-D shapes. In most of them it is assumed that the 3-D shape (depth map) is available. Several object recognition systems use range images to extract the 3-D shape. We present a method that uses a shape from shading algorithm to perform 3-D object recognition for simple objects. This method extracts the 3-D information from a single intensity image, then segments the object into regions. After computing the properties of the regions, it compares the input object with the model objects in the database. To test our method, several images with slightly different viewing angles of single objects are matched against five models in the database.
Publication Date
1-1-1998
Publication Title
International Journal of Pattern Recognition and Artificial Intelligence
Volume
12
Issue
7
Number of Pages
969-984
Document Type
Article
Personal Identifier
scopus
DOI Link
https://doi.org/10.1142/S0218001498000531
Copyright Status
Unknown
Socpus ID
0344922678 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/0344922678
STARS Citation
Ortega, Ana and Shah, Mubarak, "From shape from shading to object recognition" (1998). Scopus Export 1990s. 3243.
https://stars.library.ucf.edu/scopus1990/3243