Point set registration is essential for computer vision, pattern recognition and intelligent robotics. Existing registration methods exhibit limited robustness against non-Gaussian noise, outliers and ...

PET plays an important role in the detection and staging of cancer. Whereas CT provides detailed anatomic information, PET delivers functional information to assess metabolism, metabolic size, and ...

Modern AI systems increasingly need to reason, optimize, plan, and simulate complex environments. Many such tasks cannot be solved in a single computation step. Instead, they require iterative ...

NICP is a novel on-line method to recursively align point clouds. This method exploits the 3D structure to determine the data association between the two clouds taking into account each point and its ...

The earlier conference version of GH-ICP is called Iterative Global Similarity Point (IGSP). To highlight two key innovative points of the algorithm, we renamed IGSP as GH-ICP. #./script/run.sh ...

Introduction: The conventional 3-D point cloud-based deformation analysis methods, such as the shortest distance (SD), cloud-to-cloud (C2C), and multiscale model-to-model cloud comparison (M3C2), ...

Interest in socialism is growing throughout the world. But “socialism” too often simply means belief in equality, democracy, and solidarity with working and oppressed people. That vision remains ...

The bedrock beneath the Tengger Desert is covered by Quaternary deposits, making it difficult to directly observe the underlying geological information using traditional geological methods. In areas ...

In this paper, we use resolvent operator technology to construct a viscosity approximate algorithm to approximate a common solution of split variational inclusion problem and split fixed point problem ...

Solving linear systems, often accomplished by iterative algorithms, is a ubiquitous task in science and engineering. To accommodate the dynamic range and precision requirements, these iterative ...