Common 2D and 3D image registration methods such as rigid, affine, and flow field for PyTorch. Fig. Example visualizations 2D image registration. Fig. Example visualizations of deep learning based ...

This project will be simulating the diffusion of heat in two or three dimensions using CUDA. This project will be using simplified heat diffusion equations. For 2 dimensions the assumption is that ...

In this paper, 2-Dimensional and 3-Dimensional numerical models of a thermal flow sensor are discussed and compared against one another whilst being validated with experimental results. The models ...

Summary form only given. Optical flow computation is known to be a fundamental step in many applications in image processing, pattern recognition, data compression, and biomedical technology. The goal ...

In-depth testing has created a model that can extract 3D information from 2D photos, making cameras more advantageous for these new technologies. According to Tianfu Wu, an associate professor of ...

“2D UDCA can quantify relative changes of coronary flow, for example between rest and stress states, but it cannot quantify the absolute coronary flow velocity,” explains co-senior author Mathieu ...