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This paper presents a novel facial expression recognition approach in the presence of partial occlusion using Gabor filters and gray-level co-occurrence matrix (GLCM). At first, we design an algorithm to extract the block Gabor feature statistics according to the spatial distribution of the face organ. Then, GLCM is firstly introduced into expression recognition field to make up for the deficiency...
Internet of Vehicles is new concept proposed in recently year extended from Internet of Things. It plays an important role in improving traffic situation. This system is respected as a part of Internet of Vehicles aimed to identify road rage, fatigue driving or drunk driving and so on by recognizing drivers' facial expression. With Internet of Things architecture, this system has a multi-function...
This paper presents a novel automatic facial key point extraction method based on corner detection approach. A pyramid-based FAST corner detector has been developed to seek out all the corners of facial organs with a few useless corners. It was tested and compared with four feature points detectors including FAST, SUSAN, Harris and SIFT to evaluate the effect. Then, for filtering useless corner points,...
According to the complex manifestation of human facial expression in realistic environment, occlusion problem has become a new challenge and a hot spot in the field of expression recognition. To make facial expression recognition applied in broader way, the main work is to increase the accuracy under different partial occlusion with feasible robust, which is limited by the information missing and...
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