GVLD: A fast and accurate GPU-based variational light-field disparity estimation approach
TH Tran, G Mammadov, S Simon - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Disparity estimation is an essential task taking part in many light-field applications. Due to
the complexity of algorithms and high dimensional property of light-field data, performing this …
the complexity of algorithms and high dimensional property of light-field data, performing this …
Multi-view Disparity Estimation Using a Novel Gradient Consistency Model
Variational approaches to disparity estimation typically use a linearised brightness
constancy constraint, which only applies in smooth regions and over small distances …
constancy constraint, which only applies in smooth regions and over small distances …
Light-field image compression based on variational disparity estimation and motion-compensated wavelet decomposition
TH Tran, Y Baroud, Z Wang, S Simon… - … Conference on Image …, 2017 - ieeexplore.ieee.org
This paper presents a compression framework for light-field images. The main idea of our
approach is exploiting the similarity across sub-aperture images extracted from light-field …
approach is exploiting the similarity across sub-aperture images extracted from light-field …
A GPU-accelerated light-field super-resolution framework based on mixed noise model and weighted regularization
TH Tran, K Sun, S Simon - Journal of Real-Time Image Processing, 2022 - Springer
Abstract Light-field (LF) super-resolution (SR) plays an essential role in alleviating the
current technology challenge in the acquisition of a 4D LF, which assembles both high …
current technology challenge in the acquisition of a 4D LF, which assembles both high …
Gpu-accelerated light-field image super-resolution
TH Tran, G Mammadov, K Sun… - … Conference on Advanced …, 2018 - ieeexplore.ieee.org
Light-field imaging has become an emerging technology that brings great benefits to many
fields, ie in photography, academia, and industry. However, these benefits come with the …
fields, ie in photography, academia, and industry. However, these benefits come with the …
Scene disparity estimation with convolutional neural networks
ER Anas, L Guo, A Onsy… - Multimodal Sensing …, 2019 - spiedigitallibrary.org
Estimation of stereovision disparity maps is important for many applications that require
information about objects' position and geometry. For example, as depth surrogate, disparity …
information about objects' position and geometry. For example, as depth surrogate, disparity …