Submodular-based view selection for low-quality points rendering with multi-feature point-based NeRF

Haipeng Wang

doi:10.1007/s00371-025-03944-3

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Submodular-based view selection for low-quality points rendering with multi-feature point-based NeRF

Haipeng Wang

Year: 2025 Journal: The Visual Computer Vol: 41 (9)Pages: 6425-6437 Publisher: Springer Science+Business Media

DOI: 10.1007/s00371-025-03944-3

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Keywords:

Submodular set function Computer science Rendering (computer graphics) Feature (linguistics) Computer graphics Point (geometry) Feature selection Artificial intelligence Selection (genetic algorithm) Computer graphics (images) Mathematics Mathematical optimization

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Advanced Vision and Imaging

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Robotics and Sensor-Based Localization

Physical Sciences → Engineering → Aerospace Engineering

3D Shape Modeling and Analysis

Physical Sciences → Engineering → Computational Mechanics

Submodular-based view selection for low-quality points rendering with multi-feature point-based NeRF

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