A Novel Viewport-Adaptive Motion Compensation Technique for Fisheye Video

TL;DR

This paper introduces a viewport-adaptive motion compensation method for fisheye videos that accounts for 3D motion planes, significantly improving accuracy over existing approaches.

Contribution

It proposes a novel virtual image plane compensation technique that enhances motion compensation accuracy in fisheye videos by considering large field of view distortions.

Findings

Achieves +2.40 dB average PSNR gain over state-of-the-art methods.

Effectively maps pixels to virtual image planes for reliable motion estimation.

Improves motion compensation accuracy in fisheye video processing.

Abstract

Although fisheye cameras are in high demand in many application areas due to their large field of view, many image and video signal processing tasks such as motion compensation suffer from the introduced strong radial distortions. A recently proposed projection-based approach takes the fisheye projection into account to improve fisheye motion compensation. However, the approach does not consider the large field of view of fisheye lenses that requires the consideration of different motion planes in 3D space. We propose a novel viewport-adaptive motion compensation technique that applies the motion vectors in different perspective viewports in order to realize these motion planes. Thereby, some pixels are mapped to so-called virtual image planes and require special treatment to obtain reliable mappings between the perspective viewports and the original fisheye image. While the state-of-the-art ultra wide-angle compensation is sufficiently accurate, we propose a virtual image plane compensation that leads to perfect mappings. All in all, we achieve average gains of +2.40 dB in terms of PSNR compared to the state of the art in fisheye motion compensation.