3d scene geometry estimation from 360 imagery: A survey
TLT da Silveira, PGL Pinto… - ACM Computing …, 2022 - dl.acm.org
This article provides a comprehensive survey on pioneer and state-of-the-art 3D scene
geometry estimation methodologies based on single, two, or multiple images captured …
geometry estimation methodologies based on single, two, or multiple images captured …
Review of light field technologies
Light fields are vector functions that map the geometry of light rays to the corresponding
plenoptic attributes. They describe the holographic information of scenes by representing …
plenoptic attributes. They describe the holographic information of scenes by representing …
Residual networks for light field image super-resolution
Light field cameras are considered to have many potential applications since angular and
spatial information is captured simultaneously. However, the limited spatial resolution has …
spatial information is captured simultaneously. However, the limited spatial resolution has …
End-to-end light field spatial super-resolution network using multiple epipolar geometry
Light Field (LF) cameras are considered to have many potential applications since angular
and spatial information is captured simultaneously. However, the limited spatial resolution …
and spatial information is captured simultaneously. However, the limited spatial resolution …
Light field image super-resolution network via joint spatial-angular and epipolar information
This paper proposes a novel efficient convolutional neural network (CNN) for light field (LF)
spatial super-resolution (SR). Due to the high dimensionality of LF data, it is important to …
spatial super-resolution (SR). Due to the high dimensionality of LF data, it is important to …
A novel occlusion-aware vote cost for light field depth estimation
Capturing the directions of light by light field cameras powers next-generation immersive
multimedia applications. A critical problem in taking advantage of the rich visual information …
multimedia applications. A critical problem in taking advantage of the rich visual information …
Reduced reference quality assessment of light field images
Immersive media, such as free view point video and 360° video, are expected to be
dominant as broadcasting services. The light field (LF) imaging is being considered as a …
dominant as broadcasting services. The light field (LF) imaging is being considered as a …
A framework for learning depth from a flexible subset of dense and sparse light field views
In this paper, we propose a learning-based depth estimation framework suitable for both
densely and sparsely sampled light fields. The proposed framework consists of three …
densely and sparsely sampled light fields. The proposed framework consists of three …
AIF-LFNet: All-in-focus light field super-resolution method considering the depth-varying defocus
As an aperture-divided computational imaging system, microlens array (MLA)-based light
field (LF) imaging is playing an increasingly important role in computer vision. As the trade …
field (LF) imaging is playing an increasingly important role in computer vision. As the trade …
Take your model further: a general post-refinement network for light field disparity estimation via BadPix correction
Most existing light field (LF) disparity estimation algorithms focus on handling occlusion,
texture-less or other areas that harm LF structure to improve accuracy, while ignoring other …
texture-less or other areas that harm LF structure to improve accuracy, while ignoring other …