A5101802068- Medical Image Segmentation Techniques
- Advanced Clustering Algorithms Research
- 3D Surveying and Cultural Heritage
- Image Processing and 3D Reconstruction
- 3D Shape Modeling and Analysis
- Face and Expression Recognition
- Data Management and Algorithms
- Robotics and Sensor-Based Localization
- AI in cancer detection
- Data Mining Algorithms and Applications
- Medical Imaging and Analysis
- Digital Image Processing Techniques
- Image Retrieval and Classification Techniques
- Manufacturing Process and Optimization
Zhengzhou University
2017
University of North Carolina at Chapel Hill
2004-2008
Analysis Group (United States)
2005
This study determined the accuracy of a camera system capable recording three-dimensional facial images. A Rainbow 3D Camera Model 250 (Genex Technologies Inc, Kensington, Md) was used to capture images specific models: (1) precalibrated precision model and (2) mannequin that served simulate human condition. To assess system, repeated both models were recorded at two time points, one week apart. Repeated measurements distances directly on from each image. Means standard deviations calculated...
The discrete m-rep, a medial representation of anatomical objects made from one or more meshes atoms, has many attractive properties for biomedical image analysis. nonlinear nature the m-rep parameters captures deformations in such as twisting and bending. Most uses m-reps require extending them to continuous sheets atoms. To guarantee that sheet atoms does not fold, we propose an interpolation method on based two shape operators. radial operator describes rate swing atom's spoke. edge...