ArticleSensors (Basel, Switzerland)2022
Noise Reduction in Human Motion-Captured Signals for Computer Animation based on B-Spline Filtering.
Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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Who cites it
3 citing papers in PubMed.
- MLUG: Bootstrapping Language-Motion Pre-Training for Unified Motion-Language Understanding and Generation.Sensors (Basel, Switzerland) · 2024Article
- Hybrid Models for Endoscopy Image Analysis for Early Detection of Gastrointestinal Diseases Based on Fused Features.Diagnostics (Basel, Switzerland) · 2023Article
- Intelligent Animation Creation Method Based on Spatial Separation Perception Algorithm.Computational intelligence and neuroscience · 2022Article
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Authors and funding
2 authors.
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Abstract
Motion capturing is used to record the natural movements of humans for a particular task. The motions recorded are extensively used to produce animation characters with natural movements and for virtual reality (VR) devices. The raw captured motion signals, however, contain noises introduced during the capturing process. Therefore, the signals should be effectively processed before they can be applied to animation characters. In this study, we analyzed several common methods used for smoothing signals. The smoothed signals were then compared based on the smoothness metrics defined. It was concluded that the filtering based on the B-spline-based least square method could achieve high-quality outputs with predetermined continuity and minimal parameter adjustments for a variety of motion signals.
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Registered trials
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