3D SIFT aided path independent digital volume correlation and its GPU acceleration

•A novel 3D SIFT aided path independent DVC method is proposed.•The DVC method demonstrate outstanding adaptability to deal with large and complex deformation.•The DVC method is accelerated by parallel computing on GPU.•Ultrafast computation speed is achieved by of the DVC method on GPU. A novel pat...

Celý popis

Uložené v:
Podrobná bibliografia
Vydané v:Optics and lasers in engineering Ročník 136; s. 106323
Hlavní autori: Yang, Junrong, Huang, Jianwen, Jiang, Zhenyu, Dong, Shoubin, Tang, Liqun, Liu, Yiping, Liu, Zejia, Zhou, Licheng
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Elsevier Ltd 01.01.2021
Predmet:
Digital volume correlation
Graphics processing unit
Initial guess
Parallel computing
Scale-invariant feature transform
Digital volume correlation
Parallel computing
Initial guess
Scale-invariant feature transform
Graphics processing unit
ISSN:0143-8166, 1873-0302
On-line prístup:Získať plný text
Tagy: Pridať tag
Žiadne tagy, Buďte prvý, kto otaguje tento záznam!
Popis
Shrnutí:•A novel 3D SIFT aided path independent DVC method is proposed.•The DVC method demonstrate outstanding adaptability to deal with large and complex deformation.•The DVC method is accelerated by parallel computing on GPU.•Ultrafast computation speed is achieved by of the DVC method on GPU. A novel path independent digital volume correlation (DVC) method is proposed, in which the internal deformation field is determined with the aid of the features extracted from the volume images. The deformation vector at each point of interest is first estimated by tracking the motion of the nearby keypoints obtained through 3D scale-invariant feature transform (SIFT), and then fed as the initial guess into the 3D inverse compositional Gauss-Newton algorithm to achieve high accuracy result. Benefiting from the robustness of SIFT to various deformation and distortion of image, the proposed DVC method demonstrates outstanding performance to automatically process the volume images containing large and complex deformation, which keep challenging to current DVC methods for decades. The proposed DVC method is further powered by the parallel computing on GPU. An ultrafast computation speed (about 10,000 POI/s) can be reached on a personal computer when dealing with the volume images of normal sizes. The 3D SIFT aided DVC method, which achieves unprecedented balance between accuracy, adaptability, and efficiency, shows great potential in the quantitative analysis of internal deformation.
ISSN:0143-8166
1873-0302
DOI:10.1016/j.optlaseng.2020.106323