| 摘要 |
In the last few years, face expression measurement has been receiving significant attention mainly due to advancements in areas such as face detection, face tracking and face recognition. For face recognition systems, detecting the locations in two-dimension (2D) images where faces are present is a first step to be performed before face expressions can be measured. However, face detection from a 2D image is a challenging task because of variability in imaging conditions, image orientation, pose, presence/absence of facial artefacts facial expression and occlusion. Existing efforts to address the shortcomings of existing face recognition systems deal with technologies for creation of three-dimensional (3D) models of a human subject's face based on a digital photograph of the human subject. However, such technologies are computationally intensive nature and susceptible to errors and hence might not be suitable for deployment. An embodiment of the invention describes a method for identifying face expressions of image objects.
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