Results 171 to 180 of about 16,591 (312)

Real-Time Stereo Vision System: A Multi-Block Matching on GPU

, 2018
Qiong Chang, Tsutomu Maruyama
openalex   +1 more source

Sparse Cost Volume for Efficient Stereo Matching [PDF]

, 2018
Chuanhua Lu, Hideaki Uchiyama, Diego Thomas, Atsushi Shimada, Rin-ichiro Taniguchi   +4 more
openalex   +1 more source

Simultaneous Stereo Matching and Confidence Estimation Network. [PDF]

J Imaging
Schmähling T, Müller T, Eberhardt J, Elser S.   +3 more
europepmc   +1 more source

Comparing convolutional neural network and random forest for benthic habitat mapping in Apollo Marine Park

Remote Sensing in Ecology and Conservation, EarlyView.
A comparison of Convolutional Neural Network (CNN) and Random Forest (RF) model predictions of benthic habitats within Apollo Marine Park. The CNN (left) and RF (right) classification maps show the spatial distribution of three habitat types: high energy circalittoral rock with seabed‐covering sponges, low complexity circalittoral rock with non‐crowded
Henry Simmons, Dang Nguyen, Benjamin Misiuk, Daniel Ierodiaconou, Sunil Gupta, Oli Dalby, Mary Young   +6 more
wiley   +1 more source

Hierarchical Guided-Image-Filtering for Efficient Stereo Matching [PDF]

, 2019
Chengtao Zhu, Yau‐Zen Chang
openalex   +1 more source

The Adversarial Robust and Generalizable Stereo Matching for Infrared Binocular Based on Deep Learning. [PDF]

J Imaging
Liu B, Ji J, Tao C, Li J, Wang Y.
europepmc   +1 more source

Interpretable CRAM‑Enhanced Lightweight Dual‑Branch CNN for Real‑Time Breast Cancer Histopathology in Internet‑of‑Medical‑Things Environments

Small, EarlyView.
This study presents an interpretable, lightweight hybrid deep learning model for real‐time analysis of breast cancer histopathology in IoMT‐enabled diagnostic systems. By integrating MobileNetV2 and EfficientNet‐B0 with a novel contextual recurrent attention module (CRAM), the framework achieves near‐perfect accuracy while providing transparent Grad ...
Roseline Oluwaseun Ogundokun, Rotimi‐Williams Bello, Pius Adewale Owolawi, Rytis Maskeliūnas, Abdulsatar Abduljabbar Sultan   +4 more
wiley   +1 more source

Accuracy and efficiency stereo matching network with adaptive feature modulation. [PDF]

PLoS One
Lin S, Zhuo X, Qi B.
europepmc   +1 more source

Depth Estimation for Light-Field Images Using Stereo Matching and Convolutional Neural Networks. [PDF]

Sensors (Basel), 2020
Rogge S, Schiopu I, Munteanu A.
europepmc   +1 more source

Regional Infrared and Visible Image Registration for Distribution Substation Areas With Wide Depth of Field

High Voltage, EarlyView.
ABSTRACT Infrared and visible image registration is a key task in automated distribution network inspection. Previous approaches typically apply a single homography to align infrared and visible images leading to local misalignment. To address this, this study proposes a novel region‐based registration algorithm specifically designed for wide‐depth ...
Yingchen Zhang, Bo Wang, Fei Tang
wiley   +1 more source