Results 1 to 10 of about 44,252 (301)

Multi-View Image Denoising Using Convolutional Neural Network

Sensors, 2019
In this paper, we propose a novel multi-view image denoising algorithm based on convolutional neural network (MVCNN). Multi-view images are arranged into 3D focus image stacks (3DFIS) according to different disparities.
Shiwei Zhou, Yu-Hen Hu, Hongrui Jiang
doaj   +1 more source

MSDESIS: Multitask Stereo Disparity Estimation and Surgical Instrument Segmentation. [PDF]

IEEE Trans Med Imaging, 2022
Psychogyios D, Mazomenos E, Vasconcelos F, Stoyanov D.   +3 more
europepmc   +1 more source

Disparity Estimation For Objects Of Interest

, 2008
An algorithm for estimating the disparity of objects of interest is proposed. This algorithm uses image shifting and overlapping area to estimate the disparity value; thereby depth of the objects of interest can be obtained. The algorithm is able to perform at different levels of accuracy.
Yen San Yong, Hock Woon Hon
openaire   +1 more source

Improving Disparity Consistency With Self-Refined Cost Volumes for Deep Learning-Based Satellite Stereo Matching

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Stereo matching algorithms are considered one of the most important subtasks in 3-D reconstruction, as 3-D coordinates are derived from the disparity values of pixels obtained through stereo matching.
Jiyong Kim, Seoyeon Cho, Minkyung Chung, Yongil Kim   +3 more
doaj   +1 more source

Learning Efficient Stereo Matching Network With Depth Discontinuity Aware Super-Resolution

IEEE Access, 2019
Deep convolutional neural networks (CNNs) have shown great potential to provide accurate depth estimation based on stereo images. Previous work has focused on developing robust stereo matching architectures, while little attention has been paid on ...
Chenggang Guo, Dongyi Chen, Zhiqi Huang
doaj   +1 more source

Wavelet-Constrained Regularization For Disparity Map Estimation

, 2006
Publication in the conference proceedings of EUSIPCO, Florence, Italy ...
Miled, Wided, Pesquet, Jean-Christophe, Parent, Michel   +2 more
openaire   +4 more sources

Fast stereo matching based on edge energy information

Journal of Measurement Science and Instrumentation, 2012
A new improvement is proposed for stereo matching which gives a solution to disparity map in terms of edge energy.We decompose the stereo matching into three parts:sparse disparity estimation for image-pairs,edge energy model and final disparity ...
Xiaowei An, Youngjoon Han
doaj  

Improved Monte Carlo methods for estimating confidence intervals for eleven commonly used health disparity measures.

PLoS ONE, 2019
Health disparities are commonplace and of broad interest to policy makers, but are also challenging to measure and communicate. The Health Disparity Calculator software (HD*Calc, v1.2.4) offers Monte Carlo simulation (MCS)-based confidence interval (CI ...
Jaeil Ahn, Sam Harper, Mandi Yu, Eric J Feuer, Benmei Liu   +4 more
doaj   +1 more source

Comparative Analysis of Deep Learning-Based Stereo Matching and Multi-View Stereo for Urban DSM Generation

Remote Sensing
The creation of digital surface models (DSMs) from aerial and satellite imagery is often the starting point for different remote sensing applications. For this task, the two main used approaches are stereo matching and multi-view stereo (MVS). The former
Mario Fuentes Reyes, Pablo d’Angelo, Friedrich Fraundorfer   +2 more
doaj   +1 more source

MSCA-Net: Multiscale Chunked Attention Network for High-Resolution Satellite Stereo Matching

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Dense image matching of high-resolution satellite stereo pairs has shown wide applications in large-scale 3-D reconstruction. In recent years, deep learning techniques have been widely applied in stereo matching due to their remarkable ability to extract
Yixiao Wang, Zhenquan Wen, Xu Huang
doaj   +1 more source