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The presence of occluding objects in face recognition and more generally in object recognition tasks, is a "far from solved" problem. Here a solution has been presented which is composed of three core modules (detection, normalization and occlusion detection/face restoration) that could be employed in any 3D recognition system in order to improve i...
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... about the structure of the face is used therefore only in the generation of a list of candidate face regions, while the actual classification of these regions as faces is purely holistic. Fig. 4. The face detector main diagram In Figure 5 a more detailed description of the processing steps is shown. Once the scene is acquired, surface curvature, which has the valuable characteristic of being viewpoint invariant, is exploited to segment candidate eyes and noses. ...
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... are satisfactory considering the toughness of the problem and the fact that a large number of the acquisitions would be missed using conventional 3D approaches. The detector performs very well on non-occluded faces, reaching 100% of the detected faces and just one false alarm. Figure 14 shows some examples of correctly detected faces while Fig. 15 shows a subset of missed faces. ...
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Citations
... Facial surfaces are approached by indexed collections of radial curves. Occlusions detection and restoration of partially occluded faces was also approached by Colombo et al [9,10,11]. The detection method considers occlusions as local deformations of the face and the restoration task is based on Principal Component Analysis (PCA) reconstruction. ...
Improving appearance and guarantying healthcare are the important objectives of facial plastic surgery. Face can be the seat of tumors that can be restored using 3D images in a way to surpass 2D limits such as change in illumination conditions and pose variation. This work proposes a Riemannian geometry approach to illustrate the degradation of facial tumefaction which is based on geodesic paths between healthy and swollen half of the face. The progressivity of tumor volume assists plastic surgeons in approaching the harmonious shapes for facial restoration. We introduce a preprocessing step to prepare 3D scans chosen from FRAV 3D database then sculpted to simulate unilateral tumors. We present facial surfaces by indexed collections of radial curves emanating from the nose tips. Symmetric indexed radial curves are compared using elastic shape analysis.
