3D Scanning: A Comprehensive Survey
This paper provides an overview of 3D scanning methodologies and technologies proposed in the existing scientific and industrial literature. Throughout the paper, various types of the related techniques are reviewed, which consist, mainly, of close-range, aerial, structure-from-motion and terrestrial photogrammetry, and mobile, terrestrial and airborne laser scanning, as well as time-of-flight, structured-light and phase-comparison methods, along with comparative and combinational studies, the latter being intended to help make a clearer distinction on the relevance and reliability of the possible choices. Moreover, outlier detection and surface fitting procedures are discussed concisely, which are necessary post-processing stages.
Code (0)
등록된 구현이 없습니다.
Tasks
Outlier DetectionSurveySimilar Papers 제목 키워드 기반
LiDAR for Rehabilitation: A Comprehensive Survey of Applications, AI Techniques, and Future Directions
Rehabilitation aims to help patients with limited mobility regain their physical abilities through targeted movements, exercises, stimulation, and other therapeutic methods. Recent advances in technology have introduced …
A Survey on IBR Penetrated Power System Stability Analysis Using Frequency Scanning
The rapid rise in inverter-based renewable resources has heightened concerns over subsynchronous resonance and oscillations, thereby challenging grid stability. This paper reviews approaches to identify and mitigate thes…
Rapid focus map surveying for whole slide imaging with continues sample motion
Whole slide imaging (WSI) has recently been cleared for primary diagnosis in the US. A critical challenge of WSI is to perform accurate focusing in high speed. Traditional systems create a focus map prior to scanning. Fo…
Comprehensive Review of Reinforcement Learning for Medical Ultrasound Imaging
Medical Ultrasound (US) imaging has seen increasing demands over the past years, becoming one of the most preferred imaging modalities in clinical practice due to its affordability, portability, and real-time capabilitie…
reinforcement-learningReinforcement LearningReinforcement Learning (RL)MambaCSR: Dual-Interleaved Scanning for Compressed Image Super-Resolution With SSMs
We present MambaCSR, a simple but effective framework based on Mamba for the challenging compressed image super-resolution (CSR) task. Particularly, the scanning strategies of Mamba are crucial for effective contextual k…
Compressed Image Super-resolutionImage Super-ResolutionMambaSuper-Resolution