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

Year 2019, , 58 - 62, 30.03.2019

Erkut Arıcan , Tarkan Aydın

https://doi.org/10.30516/bilgesci.491557

Abstract

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. 

Keywords

RGB-D, Depth Image, Machine Learning, K-Means, Bag of Visual Words

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