Results 71 to 80 of about 5,152 (205)

Rapid Arbitrary‐Shape Microscopy of Unsectioned Tissues for Precise Intraoperative Tumor Margin Assessment

Advanced Science, Volume 13, Issue 8, 9 February 2026.
This study presents a novel microscopic imaging system capable of rapid, section‐free scanning of irregular tissue surfaces, delivering high sensitivity for detecting cancer cell clusters during intraoperative tumor margin assessment. Abstract Rapid and accurate intraoperative examination of tumor margins is crucial for precise surgical treatment, yet ...
Zhicheng Shao, Xiangwei Meng, Peifen Fu, Keer Huang, Xibei Chen, Yue Ying, Jun Li, Yuxin Zheng, Xiaolong Li, Hyeon Jeong Lee, Jingyi Feng, Yuexin Lu, Runping Cai, Xiongling Jiang, Qing Chen, Hong Zhang, Xiaoyong Man, Li Lin   +17 more
wiley   +1 more source

Unsupervised and interpretable track‐to‐track association based on homography estimation of radar bias

IET Radar, Sonar & Navigation
Track‐to‐track association methods based on machine learning and deep learning have greatly improved the association results, but the scope of application is limited by the poor interpretability and manual association labelling.
Xiong Wei, Xu Pingliang, Cui Yaqi
doaj   +1 more source

Spacecraft Homography Pose Estimation with Single-Stage Deep Convolutional Neural Network

Sensors
Spacecraft pose estimation using computer vision has garnered increasing attention in research areas such as automation system theory, control theory, sensors and instruments, robot technology, and automation software.
Shengpeng Chen, Wenyi Yang, Wei Wang, Jianting Mai, Jian Liang, Xiaohu Zhang   +5 more
doaj   +1 more source

A Robust Method for Estimating Image Geometry With Local Structure Constraint

IEEE Access, 2018
The estimation of image geometry benefits many applications in the field of computer vision, such as stereo correspondence, 3-D reconstruction, and camera self-calibration.
Li Peng, Yanduo Zhang, Huabing Zhou, Tao Lu   +3 more
doaj   +1 more source

Deep Image Homography Estimation

CoRR, 2016
We present a deep convolutional neural network for estimating the relative homography between a pair of images. Our feed-forward network has 10 layers, takes two stacked grayscale images as input, and produces an 8 degree of freedom homography which can be used to map the pixels from the first image to the second.
Daniel DeTone, Tomasz Malisiewicz, Andrew Rabinovich   +2 more
openaire   +2 more sources

Deep Learning-Based Monocular Estimation of Distance and Height for Edge Devices

Information
Accurately estimating the absolute distance and height of objects in open areas is quite challenging, especially when based solely on single images. In this paper, we tackle these issues and propose a new method that blends traditional computer vision ...
Jan Gąsienica-Józkowy, Bogusław Cyganek, Mateusz Knapik, Szymon Głogowski, Łukasz Przebinda   +4 more
doaj   +1 more source

MVI‐Depth: Multi‐View Indoor Depth Estimation Based on the Fusion of Semantic Information

CAAI Transactions on Intelligence Technology, Volume 11, Issue 1, Page 98-110, February 2026.
ABSTRACT Compared to monocular depth estimation, multi‐view depth estimation often yields more accurate results. However, traditional multi‐view depth estimation methods often fail to leverage semantic information fully and struggle to effectively fuse information from multiple views, leading to suboptimal prediction performance in challenging ...
Ying Zhu, Buyun Chen, Hong Liu, Xia Li
wiley   +1 more source

AbHE: All Attention-based Homography Estimation

, 2023
Homography estimation is a basic computer vision task, which aims to obtain the transformation from multi-view images for image alignment. Unsupervised learning homography estimation trains a convolution neural network for feature extraction and ...
Huo, Mingxiao, Yang, Xianqiang, Zhang, Zhihao, Ren, Xinyang   +3 more
core  

A Vision‐Based Motion Compensation Method for Unmanned Aerial Vehicles

IET Cyber-Systems and Robotics, Volume 8, Issue 1, January/December 2026.
ABSTRACT In target tracking under background motion scenarios, background movement often significantly compromises detection and tracking accuracy. This paper proposes a visual motion compensation algorithm for unmanned aerial vehicles, integrating feature point detection, matching and robust geometric estimation methods.
Yiwei Wang, Weifeng Liu, Meng Zhou
wiley   +1 more source

Stay Local or Go Global: Geo‐Referenced Bounding Boxes for Tracking Wildlife in Thermal Drone Videos

IET Computer Vision, Volume 20, Issue 1, January/December 2026.
An overview of the geo‐referenced drone‐based detection and tracking pipeline is presented. The workflow begins with flight execution, including mission planning, control, RTK‐based positioning and image metadata acquisition. In the pre‐processing stage, video synchronisation, frame extraction and camera‐calibration‐based undistortion are performed ...
Christoph Praschl, Vincent Coucke, Anna Maschek, David C. Schedl   +3 more
wiley   +1 more source