New visual coding exploration in MPEG: Super-MultiView and free navigation in free viewpoint TV

ISO/IEC MPEG and ITU-T VCEG have recently jointly issued a new multiview video compression standard, called 3D-HEVC, which reaches unpreceded compression performances for linear,dense camera arrangements. In view of supporting future highquality,auto-stereoscopic 3D displays and Free Navigation virtual/augmented reality applications with sparse, arbitrarily arranged camera setups, innovative depth estimation and virtual view synthesis techniques with global optimizations over all camera views should be developed. Preliminary studies in response to the MPEG-FTV (Free viewpoint TV) Call for Evidence suggest these targets are within reach, with at least 6% bitrate gains over 3DHEVC technology

Nonuniform Depth Distribution Selection with Discrete Fourier Transform

info:eu-repo/semantics/publishe

Multi-view Wide Baseline Depth Estimation Robust to Sparse Input Sampling

info:eu-repo/semantics/publishe

Multi-view Wide Baseline Depth Estimation Robust to Sparse Input Sampling

info:eu-repo/semantics/publishe

View synthesis from sparse camera array for pop-out rendering on hologram displays

A hologram of a scene can be digitally created by using a large set of images of that scene. Since capturing such a large amount is infeasible to accomplish, one may use view synthesis approaches to reduce the number of cameras and generate the missing views. We propose a view interpolation algorithm that creates views inside the scene, based on a sparse set of camera images. This allows the objects to pop out of the holographic display. We show that our approach outperforms existing view synthesis approaches and show the applicability on holographic stereograms.SCOPUS: cp.pinfo:eu-repo/semantics/publishe

Holographic Micromirror Array with Diffuse Areas for Accurate Calibration of 3D Light-Field Display

info:eu-repo/semantics/publishe

Robust and Automatic Calibration of a Projection See-Through Integral Imaging Display using Homography Based Mirror Identification

info:eu-repo/semantics/publishe

Homography based identification for automatic and robust calibration of projection integral imaging displays

Recent advances in the creation of microlens arrays as holographic optical elements allow the creation of projector-based see-through light field displays suitable for augmented reality. These systems require an accurate calibration of the projector with relation to the microlens array, as any small misalignment causes the 3D reconstruction to fail. The methods reported so far require precise placement of the calibration camera w.r.t. the lens array screen, which affects the display configuration. We propose a calibration approach which is more robust, and which allows free camera placement. Hence, it does not limit the capabilities of the system. Both a homography-based technique and structured light play a central role in realizing such a method. The method was tested on a projection-based integral imaging display system consisting of a consumer-grade projector and a digitally designed holographic optical element based micromirror array screen. The calibration method compensates for the lens distortion, intrinsics, and positioning of the projector with relation to the screen. The method uses a single camera and does not require the use of obtrusive markers as reference. We give an in-depth explanation of the different steps of the algorithm, and verify the calibration using both a simulated and a real-world setup.SCOPUS: ar.jinfo:eu-repo/semantics/publishe