47th International Symposium ELMAR, 2005. 2005
DOI: 10.1109/elmar.2005.193667
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A novel method for face recognition under partial occlusion or facial expression variations

Abstract: Thir paper presents a new techniqzre for face recognition that can cope with partial occlussion or shong vuriations in facial expression. The method hies to solve the face recognition problem Pom a nearholistic perspective. The main idea is to "eliminate" some features which may came a reduction of the recognition accuracy tinder occlwion or expression changing. To test and evaluate the performance of the new technique. a series of experiments have been carried out which have shown improved pei$onnance and rob… Show more

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Cited by 46 publications
(16 citation statements)
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“…Recently, Tarres et al [9] proposed a face recognition method that deals with partial occlusion by utilizing multiple PCA spaces of specific types of occluded faces using masking. But this simple approach can not cope with wide variation of occlusion types robustly, and also it requires large memory and longer processing time.…”
Section: Introductionmentioning
confidence: 99%
“…Recently, Tarres et al [9] proposed a face recognition method that deals with partial occlusion by utilizing multiple PCA spaces of specific types of occluded faces using masking. But this simple approach can not cope with wide variation of occlusion types robustly, and also it requires large memory and longer processing time.…”
Section: Introductionmentioning
confidence: 99%
“…Mirroring has been used extensively as part of recognition and, in particular, facial and human recognition studies. Several studies [24][25][26] have used mirroring to expand a training dataset, including removal of the need to photograph subjects from certain perspectives that correspond to the mirror of other ones [27]. Mirroring has also been used to aid recognition by replacing data that is either missing or occluded [28] and to expand a shape model [29] used as part of the recognition process.…”
Section: Discussionmentioning
confidence: 99%
“…Our strategy differ from the more common part-based strategies which divide the face into parts which are then independently compared [18,15,23]. We approached the problem by performing a restoration of the faces: the three-dimensional occluded regions are detected, and the information provided by the non-occluded parts of the face is used to restore the whole face.…”
Section: Recognition Of Partially Occluded Facesmentioning
confidence: 99%