3d face recognitionの例文

例文

1. Experiment 3 measures the performance of 3D face recognition.
2. The main technological limitation of 3D face recognition methods is the acquisition of 3D image, which usually requires a range camera.
3. 3D face recognition has the potential to achieve better accuracy than its 2D counterpart by measuring geometry of rigid features on the face.
4. Because the shape of faces is not affected by changes in lighting or pose, 3D face recognition has the potential to improve performance under these conditions.
5. Alternatively, multiple images from different angles from a common camera ( e . g . webcam ) may be used to create the 3D model with significant post-processing . ( See 3D data acquisition and object reconstruction . ) This is also a reason why 3D face recognition methods have emerged significantly later ( in the late 1980s ) than 2D methods.