Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • JSAP-OSA Joint Symposia 2018
  • (Optica Publishing Group, 2018),
  • paper 19p_221B_9

Circular 3D Feature Descriptor for RGB-D Images

Not Accessible

Your library or personal account may give you access

Abstract

The complementarity between the color information and the geometry information promotes the application of RGB-D images in object detection, object recognition and classification feature description and 3D reconstruction. The feature vectors generated by the conventional RGB-D feature descriptor have high dimensionality and computational complexity. We proposed a circular descriptor of the 3D feature points of the RGB-D image by utilizing the rotation invariance.

© 2018 The Japan Society of Applied Physics

PDF Article
More Like This
3D Feature Detection from RGB-D Images with Structure-Preserving Model

Jun Qiu, Lina Wu, and Chang Liu
JM4A.19 3D Image Acquisition and Display: Technology, Perception and Applications (3D) 2018

Experiments on 3-D Localization of Circular Features by Monocular Vision

Jing Lu, Min Xia, and Kecheng Yang
ITh4A.17 Information Optoelectronics, Nanofabrication and Testing (IONT) 2012

Compressive Temporal RGB-D Imaging

Xin Yuan, Yangyang Sun, and Shuo Pang
CTh1B.3 Computational Optical Sensing and Imaging (COSI) 2017

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All Rights Reserved