Banner

Lightweight Mobile Object Recognition with Segmentation

10th National Conference on Image Processing and Pattern Recognition Society (KEPAF) • 2015
Back
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.