Lightweight Mobile Object Recognition with Segmentation
10th National Conference on Image Processing and Pattern Recognition Society (KEPAF) • 2015
Publication Information
Authors
Czúni László, Péter József Kiss, Mónika Gál, Ágnes Lipovits, Metwally Rashad
Keywords
Not Available
Journal
10th National Conference on Image Processing and Pattern Recognition Society (KEPAF)
Publisher
Not Available
Volume
Not Available
Issue
Not Available
Pages
117-120
publication.type
International
Paper Link
Not Available
Supplementary Materials
Not Available
Abstract
The purpose of our demo is to show the application and performance of some low-complexity image descriptors in object recognition under realistic circumstances. We built a client-server system where several image retrieval methods and image segmentation approaches can be tested with the help of a network connected Android device (mobile phone, tablet or head mounted computer). A modified version of the CEDD (Color and Edge Directivity Descriptor) is proposed, as the most robust lightweight descriptor found in our tests, and manual or automatic object segmentations are also included.
Staff Members - Benha University