Year 2019, Volume 3 , Issue 1, Pages 58 - 62 2019-03-30

3D Object Detection Using a New Descriptor with RGB-D

Erkut ARICAN [1] , Tarkan AYDIN [2]

Object detection is a very important study area in computer vision. Many research use only RGB images to find objects. In our work, we present new descriptor for object detection using RGB-D’s Depth image data. We combine RGB image with depth image to create new feature vector. The introduced features feeds Bag of Visual Words algorithm to classify images of the objects. Result shows us to RGB-D images are given better accuracy results to comparing with RGB image. 
RGB-D, Depth Image, Machine Learning, K-Means, Bag of Visual Words
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Primary Language en
Subjects Engineering
Journal Section Research Articles

Author: Erkut ARICAN (Primary Author)
Country: Turkey

Author: Tarkan AYDIN
Country: Turkey


Publication Date : March 30, 2019

APA Arıcan, E , Aydın, T . (2019). 3D Object Detection Using a New Descriptor with RGB-D . Bilge International Journal of Science and Technology Research , 3 (1) , 58-62 . DOI: 10.30516/bilgesci.491557