Lightweight mobile object recognition

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, table 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 saliency based object selection are also included. The main purpose of the demo is to show the possibilities of lightweight object recognition with the modified descriptor and different object segmentation.

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