A Brute Force Approach to Depth Camera Odometry.

J. Israel 1 A. Plyer 1
1 Toulouse - ONERA - The French Aerospace Lab
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 chapter 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 (GPUs).
keyword : GPGPU KINECT ODOMETRY
Type de document :
Chapitre d'ouvrage
Consumer Depth Cameras for Computer Vision, Springer, pp.49-60, 2013, Advances in Computer Vision and Pattern Recognition, 978-1-4471-4640-7. 〈10.1007/978-1-4471-4640-7_3〉
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https://hal-onera.archives-ouvertes.fr/hal-00996582
Contributeur : Alain Broc <>
Soumis le : lundi 26 mai 2014 - 16:02:22
Dernière modification le : jeudi 15 novembre 2018 - 08:38:02

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J. Israel, A. Plyer. A Brute Force Approach to Depth Camera Odometry.. Consumer Depth Cameras for Computer Vision, Springer, pp.49-60, 2013, Advances in Computer Vision and Pattern Recognition, 978-1-4471-4640-7. 〈10.1007/978-1-4471-4640-7_3〉. 〈hal-00996582〉

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