Abstract
A system for capturing 360-degree light field information of real-existing object in one shot and then optically reconstructing is proposed. A new depth extraction algorithm for light field cameras is proposed and various camera specifications for practical use of the algorithm are employed for the analysis. With a depth extraction method that was based on optical flow for light field camera, the depth information is extracted more accurately, according to the various specifications of light field camera. For 360-degree shooting, a simple capturing system composed of two mirrors and a light field camera is used. The capturing system has an advantage of being compact and inexpensive. The locations and orientations of the two mirrors are analyzed to optimize 360-degree light field recording. Holographic display is used to optically reconstruct the captured light field information. Experimental and simulation results are presented to support the proposed system and analysis.
Highlights
With the explosive interest in implementing and improving augmented reality (AR) and virtual reality (VR) systems, there is an increasing demand to acquire information on real three-dimensional (3D) objects to produce contents for realistic displays
The light field camera (LFC) is attracting much attention as a generation camera that can record depth and color information of object, while it is similar to a conventional camera in appearance and it has an advantage in portability [10]
To obtain the depth information of an object by processing the 4D light field image, we propose depth depth extraction based on the optical flow for light field camera
Summary
With the explosive interest in implementing and improving augmented reality (AR) and virtual reality (VR) systems, there is an increasing demand to acquire information on real three-dimensional (3D) objects to produce contents for realistic displays. An LFC records four-dimensional (4D) light field (two-dimensional (2D) spatial information and 2D angular information) of given scene in the form of a 2D image Since it was proposed as a device for taking plenoptic function, there have been a large number of studies on ways to handle and reconstruct the captured light field [11,12,13,14,15]. To provide stability to the algorithm, maximum optical flow value where corresponding points can be located on a physically allowed area is determined, according to relative position difference between sub-images By using this algorithm, one can extract actual depth information from a light field image that is taken by LFC under the given condition of the LFC. Experimental results prove the validity of the proposed pickup method with LFC and DOLF
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