Title
Identification Of Products On Shop-Racks By Morphological Preprocessing And Feature-Based Detection
Abstract
In this paper we describe the method allowing the identification of products on the shop-racks. This method consists of two steps: morphological preprocessing where the image of the rack is segmented in order to find the split-lines between products; and recognition step where, based on the segmentation results, the feature-point approach is used to identify the products. In the proposed method, thanks to novel preprocessing step, we reduce the search-space to possible locations obtained as results of segmentation.
Year
DOI
Venue
2014
10.1007/978-3-319-11331-9_35
COMPUTER VISION AND GRAPHICS, ICCVG 2014
Field
DocType
Volume
Computer vision,Rack,Pattern recognition,Computer science,Segmentation,Convex hull,Preprocessor,Artificial intelligence,Feature based
Conference
8671
ISSN
Citations 
PageRank 
0302-9743
1
0.36
References 
Authors
5
4
Name
Order
Citations
PageRank
Marcin Iwanowski114225.43
Bartłomiej Zieliński2114.54
Grzegorz Sarwas395.67
Sebastian Stygar410.36