A review on vision-based motion estimation
원문 초록
Compared to contact sensors-based motion measurement, vision-based motion measurement has advantages of low cost and high efficiency and have been under active development in the past decades. This paper provides a review on existing motion measurement methods. In addition to the development of each branch of vision-based motion measurement methods, this paper also discussed the advantages and disadvantages of existing methods. Based on this discussion, it was identified that existing methods have a common limitation in optimally balancing accuracy and robustness. To address issue, we developed the Gaussian kernel-based motion measurement method. Preliminary study shows that the developed method can achieve high accuracy on simple synthesized images.
함께 살펴볼 논문
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HiM2SAM: Enhancing SAM2 with Hierarchical Motion Estimation and Memory Optimization towards Long-term Tracking
EndoMUST: Monocular Depth Estimation for Robotic Endoscopy via End-to-end Multi-step Self-supervised Training
Spatio-Temporal State Space Model For Efficient Event-Based Optical Flow
SpatialScore: Towards Unified Evaluation for Multimodal Spatial Understanding
UMotion: Uncertainty-driven Human Motion Estimation from Inertial and Ultra-wideband Units
Iterative Event-based Motion Segmentation by Variational Contrast Maximization
토론
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