All Outputs (22)

Developing a Semantic-Driven Hybrid Segmentation Method for Point Clouds of 3D Shapes (2020)
Journal Article
Yang, X., Han, X., Li, Q., He, L., Pang, M., & Jia, C. (2020). Developing a Semantic-Driven Hybrid Segmentation Method for Point Clouds of 3D Shapes. IEEE Access, 8, 40861-40880. https://doi.org/10.1109/ACCESS.2020.2976847

With the rapid development of point cloud processing technologies and the availability of a wide range of 3D capturing devices, a geometric object from the real world can be directly represented digitally as a dense and fine point cloud. Decomposing... Read More about Developing a Semantic-Driven Hybrid Segmentation Method for Point Clouds of 3D Shapes.

Rigid 3d registration algorithm for localization of the vertebral centroids in 3d deformity models of adolescent idiopathic scoliosis (2020)
Journal Article
Ćuković, S. M., Taylor, W., Luković, V., Ghionea, I., Baizid, K., Iqbal, J., & Karuppasamy, S. (2020). Rigid 3d registration algorithm for localization of the vertebral centroids in 3d deformity models of adolescent idiopathic scoliosis. Computer-Aided Design and Applications, 17(6), 1313-1325. https://doi.org/10.14733/cadaps.2020.1313-1325

In this paper, we developed a methodology for a non-invasive 3D diagnosis based on a digitized dorsal surface of the patient enabling assessment and monitoring of Adolescent Idiopathic Scoliosis (AIS). We applied a novel 3D registration algorithm, wh... Read More about Rigid 3d registration algorithm for localization of the vertebral centroids in 3d deformity models of adolescent idiopathic scoliosis.