A linear method for recovering the depth of Ultra HD cameras using a kinect V2 sensor

Gao, Yuan, Ziegler, Matthias, Zilly, Frederik, Esquivel, Sandro and Koch, Reinhard (2017) A linear method for recovering the depth of Ultra HD cameras using a kinect V2 sensor [Invited talk] In: 2017 Fifteenth IAPR International Conference on Machine Vision Applications (MVA), 8.-12.05.2017, Nagoya, Japan.

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Abstract

Depth-Image-Based Rendering (DIBR) is a mature and important method for making free-viewpoint videos. As for the study of the DIBR approach, on the one hand, most of current research focuses on how to use it in systems with low resolution cameras, while a lot of Ultra HD rendering devices have been launched into markets. On the other hand, the quality and accuracy of the depth image directly affects the final rendering result. Therefore, in this paper we try to make some improvements on solving the problem of recovering the depth information for Ultra HD cameras with the help of a Kinect V2 sensor. To this end, a linear least squares method is proposed, which recovers the rigid transformation between a Kinect V2 and an Ultra HD camera, using the depth information from the Kinect V2 sensor. In addition, a non-linear coarse-to-fine method, which is based on Sparse Bundle Adjustment (SBA), is compared with this linear method. Experiments show that our proposed method performs better than the non-linear method for the Ultra HD depth image recovery both in computing time and precision.

Document Type: Conference or Workshop Item (Invited talk)
Keywords: Cameras, High definition video, Three-dimensional displays, Calibration, Image color analysis, Estimation, Image resolution
Research affiliation: Kiel University
Kiel University > Kiel Marine Science
OceanRep > The Future Ocean - Cluster of Excellence
DOI etc.: 10.23919/MVA.2017.7986908
Date Deposited: 18 Dec 2017 10:09
Last Modified: 18 Dec 2017 10:46
URI: http://eprints.uni-kiel.de/id/eprint/40698

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