Title | ||
---|---|---|
Identification Of Products On Shop-Racks By Morphological Preprocessing And Feature-Based Detection |
Abstract | ||
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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 Iwanowski | 1 | 142 | 25.43 |
Bartłomiej Zieliński | 2 | 11 | 4.54 |
Grzegorz Sarwas | 3 | 9 | 5.67 |
Sebastian Stygar | 4 | 1 | 0.36 |