Results 11 to 20 of about 94,173 (211)
On ill-conditioning in 3D Similarity Transformation
3D similarity transformations are often used for datum transformation in Geomatic Engineering. The transformations are routinely performed between the point coordinates evaluated from GNSS (Global Navigation Satellite Systems) observations and the ...
Orhan Kurt
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A Ridgeline-Based Terrain Co-registration for Satellite LiDAR Point Clouds in Rough Areas
It is still a completely new and challenging task to register extensive, enormous and sparse satellite light detection and ranging (LiDAR) point clouds.
Ruqin Zhou, Wanshou Jiang
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Robust point correspondence applied to two and three-dimensional image registration [PDF]
Accurate and robust correspondence calculations are very important in many medical and biological applications. Often, the correspondence calculation forms part of a rigid registration algorithm, but accurate correspondences are especially important for ...
Baldock, R. A. +4 more
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Adversarial Deformation Regularization for Training Image Registration Neural Networks [PDF]
We describe an adversarial learning approach to constrain convolutional neural network training for image registration, replacing heuristic smoothness measures of displacement fields often used in these tasks.
Barratt, Dean C. +8 more
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Additional file 1: Appendix S1. Proof of Eq. (18).
Zeng, Huaien +3 more
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Additional file 2: Appendix S2. Proof of Eq. (24).
Zeng, Huaien +3 more
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Objective To evaluate the morphological similarity of bilateral coronoid process. Methods A total of 128 sets of computed tomography images of bilateral coronoid process from patients between January 2015 and December 2016 were acquired for three ...
Hai‐long Zhang, Kun‐Jhih Lin, Yi Lu
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Coupled non-parametric shape and moment-based inter-shape pose priors for multiple basal ganglia structure segmentation [PDF]
This paper presents a new active contour-based, statistical method for simultaneous volumetric segmentation of multiple subcortical structures in the brain.
Cetin, Mujdat +11 more
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A new TRIO algorithm method integrating three different algorithms is proposed to perform brain MRI segmentation in the native coordinate space, with no need of transformation to a standard coordinate space or the probability maps for segmentation.
Jyh-Wen Chai +8 more
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Automated Scan-vs-BIM Registration Using Columns Segmented by Deep Learning for Construction Progress Monitoring [PDF]
In construction automation applications, coarse registration between 3D Building Information Modelling (BIM) and the as-built point cloud is vital for the monitoring of construction progress.
G. Z. Tsige +3 more
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