Title :
A brute force approach to depth camera odometry
Author :
Israël, Jonathan ; Plyer, Aurélien
Author_Institution :
ONERA-The French Aerosp. Lab., Palaiseau, France
Abstract :
By providing direct access to 3D information of the environment, depth cameras are particularly useful for perception applications such as Simultaneous Localization And Mapping or object recognition. With the introduction of the Kinect in 2010, Microsoft released a low cost depth camera that is now intensively used by researchers, especially in the field of indoor robotics. This paper introduces a new 3D registration algorithm that can deal with considerable sensor motion. The proposed approach is designed to take advantage of the powerful computational scalability of Graphics Processing Units (GPU).
Keywords :
feature extraction; image registration; image sensors; 3D registration algorithm; 3D sensor; Microsoft Kinect camera; brute force algorithm; computational scalability; depth camera odometry; feature extraction; graphics processing unit; sensor motion; Approximation methods; Cameras; Feature extraction; Graphics processing unit; Iterative closest point algorithm; Robot sensing systems; Three dimensional displays;
Conference_Titel :
Computer Vision Workshops (ICCV Workshops), 2011 IEEE International Conference on
Conference_Location :
Barcelona
Print_ISBN :
978-1-4673-0062-9
DOI :
10.1109/ICCVW.2011.6130378