Recent advances in 3D data acquisition and processing by time-of-flight camera
Y He, S Chen - IEEE Access, 2019 - ieeexplore.ieee.org
Three-dimensional (3D) data acquisition and real-time processing is a critical issue in an
artificial vision system. The developing time-of-flight (TOF) camera as a real-time vision …
artificial vision system. The developing time-of-flight (TOF) camera as a real-time vision …
Depth map artefacts reduction: A review
Depth maps are crucial for many visual applications, where they represent the positioning
information of the objects in a three‐dimensional scene. Usually, depth maps can be …
information of the objects in a three‐dimensional scene. Usually, depth maps can be …
A method for creating a depth map based on a three-level fuzzy model
M Bobyr, A Arkhipov, S Emelyanov… - … Applications of Artificial …, 2023 - Elsevier
A new fuzzy method for creating a depth map is presented in the article. It is based on a
combination of Canny detector with a three-level fuzzy system and is designed to improve …
combination of Canny detector with a three-level fuzzy system and is designed to improve …
Minimum spanning forest with embedded edge inconsistency measurement model for guided depth map enhancement
Guided depth map enhancement based on Markov random field (MRF) normally assumes
edge consistency between the color image and the corresponding depth map. Under this …
edge consistency between the color image and the corresponding depth map. Under this …
Image downscaling via co-occurrence learning
Image downscaling is one of the widely used operations in image processing and computer
graphics. It was recently demonstrated in the literature that kernel-based convolutional filters …
graphics. It was recently demonstrated in the literature that kernel-based convolutional filters …
Depth map completion by jointly exploiting blurry color images and sparse depth maps
We aim at predicting a complete and high-resolution depth map from incomplete, sparse
and noisy depth measurements. Existing methods handle this problem either by exploiting …
and noisy depth measurements. Existing methods handle this problem either by exploiting …
Motion-compensated spatio-temporal filtering for multi-image and multimodal super-resolution
The classical multi-image super-resolution model assumes that the super-resolved image is
related to the low-resolution frames by warping, convolution and downsampling. State-of-the …
related to the low-resolution frames by warping, convolution and downsampling. State-of-the …
Enhancement of dynamic depth scenes by upsampling for precise super-resolution (UP-SR)
Multi-frame super-resolution is the process of recovering a high resolution image or video
from a set of captured low resolution images. Super-resolution approaches have been …
from a set of captured low resolution images. Super-resolution approaches have been …
A new method for inpainting of depth maps from time-of-flight sensors based on a modified closing by reconstruction algorithm
MA Garduño-Ramón, IR Terol-Villalobos… - Journal of Visual …, 2017 - Elsevier
Abstract Time-of-Flight (ToF) sensors are popular devices that extract 3D information from a
scene but result to be susceptible to noise and loss of data creating holes and gaps in the …
scene but result to be susceptible to noise and loss of data creating holes and gaps in the …
Real-time enhancement of dynamic depth videos with non-rigid deformations
K Al Ismaeil, D Aouada, T Solignac… - … on Pattern Analysis …, 2016 - ieeexplore.ieee.org
We propose a novel approach for enhancing depth videos containing non-rigidly deforming
objects. Depth sensors are capable of capturing depth maps in real-time but suffer from high …
objects. Depth sensors are capable of capturing depth maps in real-time but suffer from high …