Geometry-assisted statistical modeling for face mosaicing

Fast panoramic face mosaicing and recognition

“…For this, we will detect control points on faces (corners and maximum curvature ...). Another line of development is to improve the geometry quality of our panoramic face mosaic construction [9]. For this, we will use realistic human face models.…”

“…Several panoramic image construction algorithms have been already introduced [9][10] [11]. In general, the methods using non-linear transformations and iterative algorithms obtain very correct results in terms of geometric precision.…”

“…Relatively complex calculations, however, are necessary in order to perform the auto-calibration and 2D projective transformation [8]. Another possible approach is to derive some 3D information from a set of face images, but without trying to reconstitute the complete 3D structure of the face [5] [9].…”

An Evaluation of Bimodal Recognition Systems Based on Voice and Facial Images

“…Examples of this approach of fusion can be found in [20] in which multiple 2D face images obtained from different viewpoints were stitched together to form a 3D model of the face. In [21] the authors followed a similar method to perform mosaicking of five views of a face at different angles to create a panoramic face construction in real time.…”

“…Finally, as it can be seen in the equation (3)(4)(5)(6)(7)(8)(9)(10)(11)(12)(13)(14)(15)(16)(17)(18)(19)(20)(21), the idea is to estimate the joint density functions of all matchers for each class and then apply the Neyman- 2) Directly estimate the joint density functions of the scores of all matchers that pertain to a given class (i.e. ( 1, … , | )).…”