Results 41 to 50 of about 217,760 (286)
MINDFLOW BASED DENSE MATCHING BETWEEN TIR AND RGB IMAGES [PDF]
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]
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]
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
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]
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
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 (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]
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
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]
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

