DocumentCode
3205392
Title
Shadow identification
Author
Jiang, Caixia ; Ward, Matthew O.
Author_Institution
Worcester Polytech. Inst., MA, USA
fYear
1992
fDate
15-18 Jun 1992
Firstpage
606
Lastpage
612
Abstract
A shadow identification and classification method for real images is developed. The method is based on extensive analysis of shadow intensity and shadow geometry. The procedure for identifying shadows is divided into low-level, middle-level, and high-level processes. The low-level extracts dark regions from images. The middle-level process performs feature analysis on dark regions, including detecting vertices on the outlines of dark regions, identifying penumbrae in dark regions, assigning the subregions in dark regions as self-shadows and cast shadows, and finding object regions adjacent to dark regions. The high-level process integrates the information derived from the previous processes and confirms shadows among the dark regions
Keywords
image segmentation; pattern recognition; cast shadows; dark regions; detecting vertices; feature analysis; high-level process; real images; self-shadows; shadow classification; shadow geometry; shadow identification; shadow intensity; Clouds; Geometry; Histograms; Humans; Layout; Light sources; Object detection; Performance analysis; Shape; Surface texture;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Vision and Pattern Recognition, 1992. Proceedings CVPR '92., 1992 IEEE Computer Society Conference on
Conference_Location
Champaign, IL
ISSN
1063-6919
Print_ISBN
0-8186-2855-3
Type
conf
DOI
10.1109/CVPR.1992.223128
Filename
223128
Link To Document