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Lightweight Mobile Object Recognition with Segmentation

10th National Conference on Image Processing and Pattern Recognition Society (KEPAF) • 2015
العودة
معلومات البحث
المؤلفون Czúni László, Péter József Kiss, Mónika Gál, Ágnes Lipovits, Metwally Rashad
الكلمات المفتاحية Not Available
المجلة العلمية 10th National Conference on Image Processing and Pattern Recognition Society (KEPAF)
الناشر Not Available
المجلد Not Available
العدد Not Available
الصفحات 117-120
publication.type International
رابط البحث Not Available
المواد المرفقة Not Available
الملخص
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.