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

: Gao, Y.; Ziegler, M.; Zilly, F.; Esquivel, S.; Koch, R.


Institute of Electrical and Electronics Engineers -IEEE-; International Association for Pattern Recognition -IAPR-:
15th IAPR International Conference on Machine Vision Applications, MVA 2017. Proceedings : May 8-12, 2017, Toyoda Auditorium, Nagoya University, Nagoya, Japan
Piscataway, NJ: IEEE, 2017
ISBN: 978-4-9011-2216-0
ISBN: 978-1-5386-0495-3 (Print)
International Conference on Machine Vision Applications (MVA) <15, 2017, Nagoya>
Conference Paper
Fraunhofer IIS ()

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.