Results 41 to 50 of about 9,486 (203)

Open source tool for DSMs generation from high resolution optical satellite imagery. Development and testing of an OSSIM plug-in [PDF]

open access: yes, 2017
The fully automatic generation of digital surface models (DSMs) is still an open research issue. From recent years, computer vision algorithms have been introduced in photogrammetry in order to exploit their capabilities and efficiency in three ...
Crespi, Mattia   +2 more
core   +1 more source

Survey on AI‐Enabled Computer Vision Technologies and Applications for Space Robotic Missions

open access: yesJournal of Field Robotics, EarlyView.
ABSTRACT This survey provides a comprehensive overview of recent advancements and challenges in Artificial Intelligence (AI)‐enabled computer vision (CV) techniques for space robotic missions, spanning critical phases such as Entry, Descent, and Landing (EDL), orbital operations, and planetary surface exploration.
Maciej Quoos   +6 more
wiley   +1 more source

Joint Epipolar Tracking (JET): Simultaneous Optimization of Epipolar Geometry and Feature Correspondences [PDF]

open access: yes2017 IEEE Winter Conference on Applications of Computer Vision (WACV), 2017
Traditionally, pose estimation is considered as a two step problem. First, feature correspondences are determined by direct comparison of image patches, or by associating feature descriptors. In a second step, the relative pose and the coordinates of corresponding points are estimated, most often by minimizing the reprojection error (RPE).
Henry Bradler   +3 more
openaire   +3 more sources

Estimation of width and inclination of a filament sheet using He II 304 A observations by STEREO/EUVI [PDF]

open access: yes, 2010
The STEREO mission has been providing stereoscopic view of the filament eruptions in EUV wavelengths. The most extended view during filament eruptions is seen in He II 304 \AA observations, as the filament spine appears darker and sharper.
Gosain, S., Schmieder, B.
core   +5 more sources

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

open access: yesCAAI 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

A Fisheye Image Matching Method Boosted by Recursive Search Space for Close Range Photogrammetry

open access: yesRemote Sensing, 2019
Close range photogrammetry (CRP) with large field-of-view images has become widespread in recent years, especially in terrestrial mobile mapping systems (TMMS).
Mariana Batista Campos   +4 more
doaj   +1 more source

Panoramic Depth Imaging: Single Standard Camera Approach [PDF]

open access: yes, 2001
In this paper we present a panoramic depth imaging system. The system is mosaic-based which means that we use a single rotating camera and assemble the captured images in a mosaic. Due to a setoff of the camera’s optical center from the rotational center
Peer, Peter, Solina, Franc
core   +2 more sources

UNO: Unified Self‐Supervised Monocular Odometry for Platform‐Agnostic Deployment

open access: yesCAAI Transactions on Intelligence Technology, Volume 11, Issue 1, Page 205-222, February 2026.
ABSTRACT This work presents UNO, a unified monocular visual odometry framework that enables robust and adaptable pose estimation across diverse environments, platforms and motion patterns. Unlike traditional methods that rely on deployment‐specific tuning or predefined motion priors, our approach generalises effectively across a wide range of real ...
Wentao Zhao   +7 more
wiley   +1 more source

Rectification for any epipolar geometry [PDF]

open access: yesProcedings of the British Machine Vision Conference 2001, 2001
This paper proposes a new approach to rectification, a process whereby a stereo pair of images is re-sampled so as to make imposing the two view geometric constraint simple. This is normally performed by applying a single linear transformation per image, a method which has the drawback that some camera motions produce rectified images which are heavily
openaire   +1 more source

Unsupervised Deep Epipolar Flow for Stationary or Dynamic Scenes

open access: yes, 2022
Unsupervised deep learning for optical flow computation has achieved promising results. Most existing deep-net based methods rely on image brightness consistency and local smoothness constraint to train the networks. Their performance degrades at regions
Dai, Yuchao   +4 more
core  

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