Generalized Non-rigid Point Set Registration with Hybrid Mixture Models Considering Anisotropic Positional Uncertainties

Zhe Min; Li Liu; Max Q.‐H. Meng

doi:10.1007/978-3-030-32254-0_61

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Generalized Non-rigid Point Set Registration with Hybrid Mixture Models Considering Anisotropic Positional Uncertainties

Zhe Min Li Liu Max Q.‐H. Meng

Year: 2019 Lecture notes in computer science Pages: 547-555 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-030-32254-0_61

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Keywords:

Rigid transformation Point set registration Computer science Robustness (evolution) Isotropy Image registration Artificial intelligence Normal Algorithm Computer vision Point (geometry) Position (finance) Image (mathematics) Surface (topology) Mathematics Geometry

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Robotics and Sensor-Based Localization

Physical Sciences → Engineering → Aerospace Engineering

Medical Image Segmentation Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

3D Shape Modeling and Analysis

Physical Sciences → Engineering → Computational Mechanics

Generalized Non-rigid Point Set Registration with Hybrid Mixture Models Considering Anisotropic Positional Uncertainties

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