Efficient Multi-image Correspondences for On-line Light Field Video Processing
Łukasz Dąbała , Matthias Ziegle , Piotr Didyk , Frederik Zilly , Joachim Keinert , Karol Myszkowski , Hans-Peter Seide , Przemysław Rokita , Tobias Ritschel
AbstractLight field videos express the entire visual information of an animated scene, but their shear size typically makes capture, processing and display an off-line process, i. e., time between initial capture and final display is far from real-time. In this paper we propose a solution for one of the key bottlenecks in such a processing pipeline, which is a reliable depth reconstruction possibly for many views. This is enabled by a novel correspondence algorithm converting the video streams from a sparse array of off-the-shelf cameras into an array of animated depth maps. The algorithm is based on a generalization of the classic multi-resolution Lucas-Kanade correspondence algorithm from a pair of images to an entire array. Special inter-image confidence consolidation allows recovery from unreliable matching in some locations and some views. It can be implemented efficiently in massively parallel hardware, allowing for interactive computations. The resulting depth quality as well as the computation performance compares favorably to other state-of-the art light field-to-depth approaches, as well as stereo matching techniques. Another outcome of this work is a data set of light field videos that are captured with multiple variants of sparse camera arrays.
|Journal series||Computer Graphics Forum, ISSN 0167-7055|
|Publication size in sheets||0.5|
|project||Development of new algorithms in the areas of software and computer architecture, artificial intelligence and information systems and computer graphics . Project leader: Rybiński Henryk,
, Phone: +48 22 234 7731, start date 18-05-2015, end date 30-11-2016, II/2015/DS/1, Completed
|Score|| = 35.0, 27-03-2017, ArticleFromJournal|
= 35.0, 27-03-2017, ArticleFromJournal
|Publication indicators||: 2016 = 1.611 (2) - 2016=2.065 (5)|
|Citation count*||7 (2018-02-19)|
* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.