Lightweight Mobile Object Recognition with Segmentation
10th National Conference on Image Processing and Pattern Recognition Society (KEPAF) • 2015
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.
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