Constant elasticity of substitution function based RANSAC for image stitching [PDF]
Feature matching is very important in image stitching. RANSAC algorithm is a representative algorithm for feature matching. However, RANSAC still has many shortcomings such as a large number of iterations, a large computational complexity and cannot ...
Zhuang Shengbin, Cao Lin, Guo Yanan
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Energy Efficient RANSAC Algorithm for Flat Surface Detection in Point Clouds
Mobile robots control systems achieve greater efficiency through the use of robust environmental analysis algorithms based on data collected from optical sensors such as depth cameras, Light Detection and Ranging sensors (LIDARs).
Anatoliy Zhuchenko +3 more
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Combined Method for Segmentation of Multiple Needles in 3D Liver CT
Radiofrequency ablation is a minimally invasive technique for treating liver or kidney tumors, where precisely inserted ablation probes destroy the tumor tissue with induced heat around their tips.
Moravová Adéla +2 more
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Določitev položaja cerkvenega zvonika s terestričnim laserskim skeniranjem ( = Determination of church belfry position using terrestrial laser scanning) [PDF]
In the past, church belfries, due to their shape and higher layout, often served as reference points in surveying. With the development of satellite based positioning methods and the establishment of the D96/TM coordinate system, they slowly lost their ...
Tine Hren +2 more
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On the Benefits of Color Information for Feature Matching in Outdoor Environments
The detection and description of features is one basic technique for many visual robot navigation systems in both indoor and outdoor environments. Matched features from two or more images are used to solve navigation problems, e.g., by establishing ...
Annika Hoffmann
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Prospects of Consumer-Grade UAVs for Overpass Bridges Pier Pads Alignment
The use of Unmanned Aerial Vehicles (UAVs) for surveying is at the forefront of their use in the Architectural Engineering and Construction (AEC) industry.
Hasan Abdulhussein Jaafar +1 more
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Improving Plane Fitting Accuracy with Rigorous Error Models of Structured Light-Based RGB-D Sensors
Plane fitting is a fundamental operation for point cloud data processing. Most existing methods for point cloud plane fitting have been developed based on high-quality Lidar data giving equal weight to the point cloud data.
Yaxin Li +5 more
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Production of a homogeneous seismic catalog based on machine learning for northeast Egypt
This research presents a new approach which addresses the conversion of earthquake magnitude as a supervised machine-learning problem through a multistage approach.
Moustafa Sayed S. R. +2 more
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FEATURE MATCHING ENHANCEMENT USING THE GRAPH NEURAL NETWORK (GNN-RANSAC) [PDF]
Improving the performance of feature matching plays a key role in computers vision and photogrammetry applications, such as fast image recognition, Structure from Motion (SFM), aerial triangulation, Visual Simultaneous Localization and Mapping (VSLAM ...
A. Elashry, C. Toth
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Spherical targets are widely used in coordinate unification of large-scale combined measurements. Through its central coordinates, scanned point cloud data from different locations can be converted into a unified coordinate reference system.
Qinghua Wu +5 more
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