Results 41 to 50 of about 217,760 (286)

MINDFLOW BASED DENSE MATCHING BETWEEN TIR AND RGB IMAGES [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020
Abstract. Image registration is a fundamental issue in photogrammetry and remote sensing, which targets to find the alignment between different images. Recently, registration of images from difference sensors become the hot topic. The registered images from different sensors are able to offer additional information, which help with different tasks like
J. Zhu   +5 more
openaire   +3 more sources

AN INTEGRATED PHOTOGRAMMETRIC AND PHOTOCLINOMETRIC APPROACH FOR PIXEL-RESOLUTION 3D MODELLING OF LUNAR SURFACE [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2018
High-resolution 3D modelling of lunar surface is important for lunar scientific research and exploration missions. Photogrammetry is known for 3D mapping and modelling from a pair of stereo images based on dense image matching. However dense matching may
W. C. Liu, B. Wu
doaj   +1 more source

Wide-Baseline Dense Feature Matching for Endoscopic Images [PDF]

open access: yes, 2014
Providing a feature-matching strategy to accurately recover tracked features after a fast and large endoscopic-camera motion or a strong organ deformation, is key in many endoscopic-imaging applications, such as augmented reality or soft-tissue shape recovery.
Gustavo A. Puerto-Souza   +1 more
openaire   +1 more source

A Transformer-Based Coarse-to-Fine Wide-Swath SAR Image Registration Method under Weak Texture Conditions

open access: yesRemote Sensing, 2022
As an all-weather and all-day remote sensing image data source, SAR (Synthetic Aperture Radar) images have been widely applied, and their registration accuracy has a direct impact on the downstream task effectiveness. The existing registration algorithms
Yibo Fan, Feng Wang, Haipeng Wang
doaj   +1 more source

High-Performance and Tunable Stereo Reconstruction [PDF]

open access: yes, 2016
Traditional stereo algorithms have focused their efforts on reconstruction quality and have largely avoided prioritizing for run time performance. Robots, on the other hand, require quick maneuverability and effective computation to observe its immediate
Leonard, John J.   +2 more
core   +2 more sources

Proposal Flow [PDF]

open access: yes, 2016
Finding image correspondences remains a challenging problem in the presence of intra-class variations and large changes in scene layout.~Semantic flow methods are designed to handle images depicting different instances of the same object or scene ...
Cho, Minsu   +3 more
core   +5 more sources

Constrained Image Splicing Detection and Localization With Attention-Aware Encoder-Decoder and Atrous Convolution

open access: yesIEEE Access, 2020
Constrained image splicing detection and localization (CISDL) is a newly formulated image forensics task and plays an important role in verifying the generating process of a forged image.
Yaqi Liu, Xianfeng Zhao
doaj   +1 more source

MONOCULAR-DEPTH ASSISTED SEMI-GLOBAL MATCHING [PDF]

open access: yesISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019
Reconstruction of dense photogrammetric point clouds is often based on depth estimation of rectified image pairs by means of pixel-wise matching.
M. Hödel   +3 more
doaj   +1 more source

Adversarial Training for Adverse Conditions: Robust Metric Localisation using Appearance Transfer

open access: yes, 2018
We present a method of improving visual place recognition and metric localisation under very strong appear- ance change. We learn an invertable generator that can trans- form the conditions of images, e.g. from day to night, summer to winter etc.
Maddern, Will   +2 more
core   +1 more source

InLoc: Indoor Visual Localization with Dense Matching and View Synthesis [PDF]

open access: yes, 2018
We seek to predict the 6 degree-of-freedom (6DoF) pose of a query photograph with respect to a large indoor 3D map. The contributions of this work are three-fold.
Cimpoi, Mircea   +7 more
core   +2 more sources

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